Research Scientist in Speech Technologies

About UsHippocratic AI is at the forefront of generative AI in the healthcare sector, pioneering a system capable of conducting safe and autonomous clinical conversations with patients. Our proprietary LLMs, part of the Polaris constellation, boast an impressive accuracy rate exceeding 99.9%.Why Join Our TeamRevolutionize healthcare with AI prioritizing safe…

About UsOdyssey AI is at the forefront of artificial intelligence innovation, developing groundbreaking general-purpose world models that represent a new paradigm in multimodal intelligence. Our cutting-edge models, including the remarkable Odyssey-2 Pro, are unlocking new possibilities for consumer, enterprise, and intelligence applications.Your RoleWe seek a highly skilled and imaginative researcher who thrives on the challenge of invention. You are driven by curiosity, eager to transform abstract concepts into tangible systems, and adept at integrating research with practical applications. Your ambition to create general-purpose world models capable of real-time generation, comprehension, and interaction is key.ResponsibilitiesPursue innovative research into the foundational aspects of world models, including representation, temporal coherence, causality, control, and long-term imagination.Develop and oversee an independent research agenda, tackling unresolved questions, formulating hypotheses, and creating algorithms that could redefine the capabilities of these models.Investigate novel architectures, learning objectives, and training paradigms that advance beyond current diffusion and transformer methodologies.Create conceptual frameworks and experimental systems to enhance our understanding of model perception and user intent responsiveness within real-world contexts.Collaborate with engineering and infrastructure teams to translate foundational insights into prototypes that showcase new functionalities rather than mere incremental improvements.Contribute to the scientific community by publishing research, mentoring peers, and actively engaging with the broader research ecosystem to influence the evolution of general-purpose world models.

At Rhoda AI, we are pioneering the development of a comprehensive platform for the next generation of humanoid robots. Our ambition encompasses everything from high-performance, software-defined hardware to the foundational models and video world models that govern their operations. Our robots are engineered as versatile generalists, adept at navigating intricate, real-world environments and addressing scenarios that are not encountered during training. We operate at the confluence of large-scale learning, robotics, and systems, with a research team that includes esteemed researchers from Stanford, Berkeley, Harvard, and other renowned institutions. Rather than merely enhancing a feature, we are constructing an entirely new computing platform dedicated to physical tasks. With over $400M raised, we are aggressively investing in research and development, hardware innovation, and scaling up manufacturing to realize this vision.Key ResponsibilitiesLead research initiatives focused on foundational models and world models for robotics, including representation learning, dynamics/prediction, planning, and control.Define research challenges and formulate hypotheses rooted in real-world robotic autonomy requirements.Design and execute rigorous experiments at scale, encompassing ablations, benchmarking, and evaluation methodologies.Develop and assess model architectures aimed at enhancing long-horizon predictions, rollout quality, and overall robotic task performance.Investigate and improve pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large multimodal models.Collaborate closely with Research Engineers to translate innovative ideas into scalable training pipelines and dependable systems.Effectively communicate research findings through internal documentation, presentations, and reviews.Publish and present research at prestigious venues.Required QualificationsPh.D. in a relevant discipline such as Machine Learning, Robotics, Computer Science, Electrical Engineering, Applied Mathematics, or Computer Vision.Demonstrated strong publication record in high-quality research (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR).In-depth knowledge of current machine learning techniques, particularly in areas such as:Deep learning and representation learning.Sequence modeling and transformers.Generative modeling (e.g., diffusion, autoregressive, latent-variable models).

Join mindrobotics as a Research Scientist or Engineer and play a pivotal role in establishing the core of general-purpose robotics. We seek individuals from diverse backgrounds in robotics, machine learning, or large-scale generative models, driven by the ambition to translate theoretical research into practical systems. If you have experience with training foundation models, possess a deep understanding of Vision-Language Models (VLMs) and Vision-Language Applications (VLAs), and are eager to bring these concepts to life through real-world hardware, this position is ideal for you. This role encompasses the entire development process, from creating innovative methodologies to scaling training systems, and engaging directly with robots to identify key operational insights. We value team members who demonstrate ownership, seamlessly navigate between research and engineering, and are passionate about seeing their contributions manifest as tangible robotic behaviors.

Join the OPPO Research Center as a forward-thinking NLP Research Scientist, where you will play a pivotal role in shaping our next-generation AI hardware platforms, including innovative AI Glasses and Earphones. Your passion for generative AI research will drive the design, training, and deployment of sophisticated multimodal intelligence models that effortlessly merge language, vision, and action. Collaborating within our dynamic team, you will co-create algorithms and hardware, translate groundbreaking research into tangible products, and contribute your findings to prestigious AI conferences.

Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.

Located in the heart of Silicon Valley, genbio is an innovative start-up driven by a team of exceptional scientists, engineers, and entrepreneurs. We are on a mission to revolutionize the fields of biology and medicine by harnessing the transformative potential of generative AI. Our team is composed of leading experts and trailblazers in AI and biological sciences, dedicated to expanding the horizons of what is achievable. We are visionaries committed to rethinking the future of biology and medicine.As pioneers in developing pan-modal Large Biological Models (LBM), we are setting new standards in biomedicine. Our groundbreaking LBM training leads to significant advancements and a redefined approach to healthcare. With a strong focus on research and development, our leadership in large language models and generative AI places us at the forefront of this groundbreaking field. With a headquarters in Palo Alto, California, and additional offices in Paris and Abu Dhabi, we are well-positioned to make a worldwide impact. Join us on this exciting journey to reshape the future of biology and medicine through the innovative capabilities of Generative AI.

Join Wealthfront's Investments team as a Quantitative Researcher, where you'll leverage your expertise in data science to craft and enhance automated investment strategies tailored to our clients' diverse needs. This role encompasses a wide range of topics including asset allocation, portfolio construction, optimization, tax efficiency, trade execution, and behavioral finance. You will have the unique opportunity to work with a proprietary dataset that reflects the investments of hundreds of thousands of clients. Ideal candidates will excel in deriving and implementing quantitative models through empirical analysis of financial and client data. Proficiency in coding and handling large datasets is essential for expressing insights and conducting thorough analyses.

About VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents designed to learn, evaluate, plan, experiment, and interact with the physical environment. Our initial focus lies in understanding and innovating hardware, specifically in electronics systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About Our TeamOur team is backed by prominent investors from Silicon Valley, Stanford University, and high-profile leaders from companies like Google, AMD, Broadcom, and Marvell. We comprise former Stanford faculty, researchers from SAIL, medalists from international Olympiads, and executives from leading tech firms, including Synopsys and GlobalFoundries, alongside notable figures from the U.S. government.Key ResponsibilitiesDevelop and optimize MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field challenges on intricate 3D IC geometries utilizing multi-node GPU clusters.Enhance and extend AMG preconditioners, Krylov solvers, and mesh pipelines, ensuring performance and correctness at scale.Construct and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.Design simulation pipelines that yield training data for neural operator models, addressing sampling strategies, mesh management, and physical consistency checks.Conduct thorough validations, including analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.QualificationsPhD in Computational Physics, Applied Mathematics, Computational Engineering, or a closely related discipline.Extensive knowledge of numerical PDE methods: FEM, FVM, or BEM, including weak formulations, quadrature, convergence, and error analysis.Proficient in C++ and CUDA, with a focus on writing and optimizing kernels, memory hierarchy management, and multi-GPU programming.Experience with multi-node HPC: MPI, domain decomposition, collective communication, and scaling strategies.Deep understanding of sparse linear algebra, including Krylov methods, algebraic multigrid, and preconditioning techniques.Hands-on experience with neural operators (FNO, DeepONet, or similar), encompassing training, architecture design, and evaluation on PDE datasets.Solid grasp of AI applications in scientific research.

About Arc Institute Arc Institute is a pioneering independent nonprofit research organization situated at the intersection of artificial intelligence and biology. Our mission is to expedite scientific advancements and unravel the complexities behind various diseases. Established in 2021 and located in Palo Alto, we collaborate closely with renowned institutions such as Stanford University, UC Berkeley, and UC San Francisco. Our unique model allows scientists the liberty to engage in extensive research without the constraints of commercial pressures, supported by long-term funding and resources akin to industry standards. Our Technology Centers and Core Investigator labs synergize to tackle challenges that neither could address independently. Our two key initiatives exemplify our innovative approach: Virtual Cell Initiative: Constructing a comprehensive virtual cell model to uncover disease mechanisms and propose drug targets, thereby accelerating the transition from biological insights to clinical trials. Alzheimer's Disease Initiative: Investigating the genes, pathways, and environmental influences linked to Alzheimer’s disease to create drug candidates that address its fundamental causes. With over 300 dedicated researchers at our Palo Alto headquarters, we are backed by significant long-term philanthropic support. About the Position The Hsu Lab and Konermann Lab are inviting applications for a Scientist specializing in Nucleic Acid Biochemistry. This role focuses on the mechanistic exploration and engineering of Bridge Recombinases—naturally occurring RNA-guided DNA recombinases that we have recently identified and demonstrated to programmably insert, excise, and invert DNA (Nature, 2024; Science, 2025). The successful candidate will lead the next phase of the evolution of Bridge Recombinases, building on our foundational work with IS110 and ISCro4 as programmable tools. You will collaborate with an interdisciplinary team aimed at engineering bridge RNAs and recombinases for extensive genome modifications, therapeutic gene circuit integration, and seamless disease correction.

Join our dynamic AI R&D team as an AI Scientist focused on Machine Learning. In this pivotal role, you will lead the development and implementation of advanced deep learning models to address real-world temporal modeling challenges in the manufacturing sector. We are in search of a candidate with extensive practical R&D experience, firmly rooted in robust theoretical principles and possessing deep expertise across various AI disciplines. The ideal candidate will exhibit a profound understanding of cutting-edge machine learning algorithms and techniques, alongside a proven record of contributions to top-tier conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, or ICCV. A solid foundation in computer science and engineering is essential. Familiarity with collaborating alongside software engineering teams to scale and commercialize ML solutions will be highly regarded. This high-impact role merges foundational research, system-level design, and hands-on implementation, allowing you to work closely with cross-functional teams to create innovative solutions that drive strategic decisions and deliver significant business value.

About Arc Institute The Arc Institute is a pioneering scientific organization dedicated to curiosity-driven research and technological advancements aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates as an independent research entity, collaborating with prestigious partners such as Stanford University, UCSF, and UC Berkeley. At Arc, we believe in the power of innovative institutional models to advance critical research initiatives. Our approach emphasizes: Funding: We provide comprehensive funding to our Core Investigators, allowing them to focus on groundbreaking research without the constraints of traditional project-based external grants. Technology: As biomedical research increasingly relies on sophisticated tools, our Technology Centers collaborate with Core Investigators to develop, optimize, and implement cutting-edge experimental and computational technologies. Support: We strive to offer exceptional operational, financial, and scientific support, empowering researchers to embark on high-risk, high-reward projects that aim to make significant strides in curing diseases such as neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize creating a culture of scientific curiosity, unwavering commitment to truth, broad ambition, and selfless collaboration, which we believe are essential for sustaining excellence in research. With a thriving community of over 350 staff members and more than $650 million in committed funding, our state-of-the-art laboratory in Palo Alto positions Arc for rapid growth in the years ahead. About the Position The Hsu Lab invites applications for a Scientist role focused on the development and application of innovative genome editing technologies. Our recent discovery of Bridge Recombinases—naturally occurring RNA-guided DNA recombinases that can programmatically insert, excise, and invert DNA—marks a significant advancement in the field (Nature, 2024 and Science, 2025). The selected candidate will lead the next phase of Bridge Recombinase evolution, building on our progress with IS110 and ISCro4 as programmable tools.

About Arc InstituteThe Arc Institute is a pioneering scientific organization dedicated to curiosity-driven basic research and technology innovation aimed at understanding and treating complex human diseases. Located in Palo Alto, California, Arc operates as an independent research entity, collaborating closely with Stanford University, UCSF, and UC Berkeley. Our mission is founded on the belief that transformative research initiatives can be greatly enhanced by innovative institutional models.While traditional university research has achieved significant breakthroughs, we emphasize the need for institutional experimentation to further advance science. We provide:Comprehensive Funding: Arc fully finances Core Investigators' (PIs') research teams, freeing scientists from the usual constraints of project-based funding.Advanced Technology: As biomedical research increasingly relies on sophisticated tools, our Technology Centers are dedicated to developing, optimizing, and deploying cutting-edge experimental and computational technologies in partnership with Core Investigators.Exceptional Support: Our goal is to offer unparalleled operational, financial, and scientific assistance to empower researchers in pursuing ambitious, high-risk projects that can significantly impact disease treatments, including neurodegeneration, cancer, and immune dysfunction.Collaborative Culture: We recognize the critical role of culture in scientific achievement and strive to cultivate an environment that prioritizes curiosity, integrity, broad aspirations, and collaborative spirit.With over 350 professionals on board and more than $650 million in committed funding, our state-of-the-art laboratory facility in Palo Alto is set to expand rapidly in the years ahead.About the PositionWe invite applications for a highly proficient Scientist specializing in functional genomics and single-cell sequencing to join our Virtual Cell Initiative. This initiative is pioneering the development of foundational models designed to accurately predict cellular states and responses to interventions. In this pivotal role, you will lead the creation of extensive single-cell perturbation datasets across over 50 cancer cell lines, essential for training our Virtual Cell models.Your responsibilities will encompass the entire experimental workflow, from mammalian cell culture and large-scale CRISPR screening to single-cell library preparation and sequencing. This role not only demands technical expertise but also the ability to drive scientific innovation.

About Arc Institute The Arc Institute is a pioneering scientific organization committed to conducting innovative, curiosity-driven research and technology development aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates independently and collaborates closely with esteemed institutions such as Stanford University, UCSF, and UC Berkeley. While traditional university research models have achieved remarkable successes, we believe that new institutional frameworks are crucial for advancing science. Our key initiatives include: Funding: We offer comprehensive funding for Core Investigators’ (PIs’) research groups, freeing scientists from the limitations of conventional project-based external grants. Technology: The field of biomedical research relies heavily on advanced tools. Our Technology Centers focus on developing, optimizing, and implementing cutting-edge experimental and computational technologies in collaboration with Core Investigators. Support: Arc is dedicated to providing exceptional operational, financial, and scientific support, allowing scientists to engage in long-term, high-risk, high-reward research that could significantly advance cures for diseases such as neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize fostering a culture that emphasizes scientific curiosity, a commitment to truth, ambitious goals, and collaborative teamwork. Arc has grown to over 350 team members with more than $650 million in committed funding and a state-of-the-art laboratory facility in Palo Alto. We are poised for rapid expansion in the coming years. About the Position We are on the lookout for a highly skilled and driven Scientist to join the Horns Lab at the Arc Institute. In this role, you will spearhead the creation of an innovative platform designed to map human antibody specificities on a large scale. You will be pivotal in developing, optimizing, and implementing a high-throughput system for the identification of antigen-specific B cells and their antibody sequences via single-cell sequencing, thereby enhancing our understanding of human immunity and aiding in the discovery of new antibodies.

Join Our TeamAt Parallel, we are at the forefront of web infrastructure innovation, empowering businesses in various sectors—sales, marketing, insurance, and technology—to develop sophisticated AI agents equipped with robust programmatic access to the internet.Having secured $130 million in funding from prestigious investors such as Kleiner Perkins, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain, we are building a premier team of engineers, designers, marketers, sales professionals, researchers, and operational specialists to fulfill our ambitious vision.Your ProfileWe are looking for a researcher who embodies an engineering mindset, or an engineer who approaches problems with curiosity typical of researchers. You may have experience with information retrieval systems, embedding models, or neural ranking at scale, or possess a deep interest in the challenges of training models to comprehend and navigate billions of web pages. You will excel in the intersection of theory and practical application, devising elegant solutions that perform efficiently on real-world infrastructure. You'll be equally comfortable reading the latest papers from SIGIR and RecSys as you are troubleshooting distributed training pipelines.Position OverviewIn this role, you will design and train models that drive Parallel's APIs—the intelligent framework that enables AI agents to extract precise information from the open web. This involves addressing complex research challenges that most labs only encounter at scale: How can we create embedding models that accurately represent semantic intent across various query types? How do we achieve a balance between model expressiveness and sub-second retrieval times? How can we ensure our index remains up-to-date with the constantly evolving web, without the need for complete rebuilds?Unlike conventional search engines tailored for human queries, you will be developing solutions for AI agents that generate intricate, multi-hop queries, requiring structured, programmatic responses. This is information retrieval redefined for the era of large language models, merging traditional information retrieval methods with cutting-edge deep learning, applied at a scale that necessitates innovative solutions.Working EnvironmentOur team collaborates fully in-person at our headquarters in Palo Alto and our San Francisco office. We pride ourselves on being a flat, talent-rich organization committed to tackling both technical and creative challenges.We are eager to welcome individuals who share our enthusiasm for leveraging science, creativity, and consistency to address large, complex problems with significant impacts. Here are our core values:Customer Impact Ownership: We take responsibility for delivering tangible results for our clients.

About Arc Institute The Arc Institute is a pioneering scientific organization dedicated to advancing curiosity-driven basic science and technology aimed at understanding and addressing complex human diseases. Based in Palo Alto, California, we operate independently while collaborating closely with esteemed institutions like Stanford University, UCSF, and UC Berkeley. While traditional university models have yielded significant successes, we emphasize the need for institutional innovation to foster progress. Our key initiatives include: Funding: We fully fund our Core Investigators’ research groups, freeing scientists from the constraints of project-based external grants. Technology: Our Technology Centers focus on developing, optimizing, and deploying cutting-edge experimental and computational tools in partnership with Core Investigators. Support: We provide exceptional operational, financial, and scientific support, empowering researchers to engage in long-term, high-risk, high-reward projects that seek to advance cures for diseases such as neurodegeneration, cancer, and immune dysfunction. Culture: We believe in the vital importance of cultivating a scientific culture that prioritizes curiosity, a commitment to truth, ambition, and collaborative spirit. With a team exceeding 350 individuals and over $650 million in committed funding, our state-of-the-art laboratory facility in Palo Alto positions Arc Institute for rapid growth in the coming years. About the Position We are seeking a Full Stack Engineer with a strong focus on backend and internal tools to enhance the software infrastructure that drives scientific innovation at Arc. In this role, you will be responsible for developing platforms essential for our researchers, including genomics submission systems, data catalogs, and machine learning tools, while also contributing to public-facing products like the Virtual Cell Challenge. This position involves hands-on collaboration with biologists, bioinformaticians, and machine learning engineers to understand their workflows and create indispensable tools that enhance their research capabilities. About You You excel at the intersection of engineering and domain expertise and enjoy collaborating with multidisciplinary teams. You are passionate about leveraging technology to address complex biological challenges and enhance scientific discovery. Your experience in software development and problem-solving will enable you to contribute meaningfully to our mission.

About Glean:Founded in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and share information within their teams. By seamlessly integrating with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have access to vital knowledge precisely when they need it, enhancing productivity and fostering collaboration. Our state-of-the-art AI technology simplifies knowledge discovery, allowing teams to efficiently utilize their collective intelligence.Glean was conceptualized by Founder & CEO Arvind Jain, who recognized the difficulties employees encounter in finding and comprehending information at work. Observing how fragmented knowledge and cumbersome SaaS tools hinder productivity, he aimed to create a superior solution—an AI-powered enterprise search platform that enables users to swiftly and intuitively access the information they require. Today, Glean stands as a leader in the Work AI space, merging enterprise-grade search, an AI assistant, and robust application- and agent-building capabilities to redefine employee workflows.About the Role:Glean is assembling a premier Data Organization that includes product data science, applied science, data engineering, and business intelligence teams. This position is an applied science role based in our Palo Alto or San Francisco office and involves:A/B Experimentation:Collaborating with product data science and engineering teams to identify enhancements in techniques, tools, and processes for A/B experimentation, facilitating informed decision-making across all relevant product areas.Developing and maintaining our A/B experimentation platform informed by stakeholder feedback.Writing code or identifying vendors to implement these techniques into production in a scalable and user-friendly manner for engineering and product teams.

Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.We are on the lookout for top-tier researchers to engage in groundbreaking AI research, tackling a diverse array of challenges associated with LLM modeling, training, data management, evaluation, and beyond. As a dynamic startup, our team is highly collaborative and hands-on; researchers are empowered to design and execute large-scale experiments and to build and deploy models in a production environment.

Ascendis Pharma is a vibrant and rapidly expanding global biopharmaceutical company with a presence in Denmark, Europe, and the United States. We are focused on advancing innovative programs in Endocrinology, Rare Disease, and Oncology.At Ascendis, we are proud of our commitment to exceptional scientific research, visionary leadership, and a dedicated team of passionate professionals.Guided by our core values of Patients, Science, and Passion, we leverage our proprietary TransCon® drug development platform to achieve our mission of creating new and potentially best-in-class therapies that address critical unmet medical needs.Our culture promotes an environment where talented, flexible, and highly resourceful professionals can truly leave their mark. We provide a dynamic workplace that encourages employees to grow and enhance their skills.As a Senior Clinical Scientist, you will play a pivotal role in the design, oversight, and data analysis of the company’s late-phase clinical trials focused on therapies involving growth hormone, parathyroid hormone, and/or C-type natriuretic peptide. This position is integral to our Clinical Development team and is ideally based in our Palo Alto, CA office; however, we may consider a remote arrangement for exceptional candidates.

About Arc Institute The Arc Institute is an innovative scientific institution dedicated to curiosity-driven basic science and technology development aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates as an independent research organization, collaborating closely with renowned institutions such as Stanford University, UCSF, and UC Berkeley. While traditional university research models have achieved remarkable successes, we firmly believe in the power of institutional experimentation to catalyze progress. Our unique approach includes: Funding: Arc provides comprehensive funding for Core Investigators’ research teams, freeing scientists from the usual limitations of project-based external grants. Technology: With the increasing complexity of biomedical research, our Technology Centers focus on developing and optimizing cutting-edge experimental and computational technologies in partnership with Core Investigators. Support: We are committed to delivering exceptional operational, financial, and scientific support that empowers researchers to undertake ambitious, high-risk projects aimed at significantly advancing cures for diseases like neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize cultivating a scientific culture that values curiosity, a steadfast commitment to truth, broad ambition, and collaborative spirit. With a growing team of over 350 individuals and $650M+ in committed funding, the Arc Institute is poised for rapid expansion, backed by a state-of-the-art lab facility in Palo Alto. About the Position The Jain Lab seeks motivated, diligent, and inquisitive candidates. Our research focuses on the interplay between organisms and their environments, specifically how factors such as oxygen levels and nutrient availability influence metabolism and disease progression. We have recently identified that chronic hypoxia, akin to living at high altitudes in Peru or Nepal, may offer therapeutic benefits for mitochondrial diseases.