Elements of Life by Augusto Silva Gomez
My name is Manuel A. Rivas. I am an Assistant Professor in the Department of Biomedical Data Science at Stanford University.
I’ve led a team of PhD students, postdocs, and staff scientists at Stanford. We focus on developing statistical and computational methods for the analysis of population-scale datasets. Our goals are to:
- Generate effective therapeutic hypotheses from human genetic data;
- Train risk prediction models for rare and common diseases;
- Develop artificial intelligence tools for tumor board discussions of rare disease patients;
- Create optimized algorithms for population-scale datasets.
Google Scholar (h-index 62: Citations: 65,544, i10-index: 117)
LinkedIn
Academic History
2016 to Present Assistant Professor, University Tenure Line, Department of Biomedical Data Science, Stanford University, Stanford, USA
2010 to 2015 DPhil, Nuffield Department of Clinical Medicine, Human Genetics, University of Oxford, Oxford, UK
2004 to 2008 B.S. Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
Scholarships and Honors
2017 Regional Prize B3 Panama
2016 NDM Graduate Prize Winner, University of Oxford
2010 NDM Osler Award Winner, University of Oxford
2010 Clarendon Scholarship, University of Oxford
2004 to 2008 Gates Millenium scholarship, Bill and Melinda Gates Foundation
2004 Exxon Mobil State and National Scholar, Exxon Mobil
2004 Ford Foundation Scholastic Award
2004 Advanced Placement National Scholar
Secured Funding
2024 to 2027 Award from the Advanced Research Projects Agency for Health (ARPA-H). Artificial Intelligence for Tumor Board Program. Principal Investigator.
2021 to 2026 NIH R01 Award from National Institutes of Mental Health. Identifying causal genetic variants and molecular mechanisms impacting mental health. Principal Investigator.
2016 to 2020 NIH R01 Award from National Human Genome Research Institute. Software for Large-scale inference of biomarkers, rare, and common diseases. Principal Investigator.
2020 Takeda Inc. Mapping the genetics of COVID-19. Principal Investigator.
2018 Sanofi US. Machine learning models for dissecting the genetics of Asthma. Principal Investigator.
Patents
2024 US Patent #12,100,480 Granted. Assessment of polygenic trait risk via trait components and applications thereof. Inventor.
2023 World Patent Application #WO2023212294A1. Angiopoietin-related protein 7-specific antibodies and uses thereof. Co-Founder of Broadwing Bio.
2023 World Patent Application #WO2024227154A1. Complement component 3 (c3)-specific antibodies and uses thereof. Co-Founder of Broadwing Bio.
2021 US Patent Application #17/079,11. Genetic determination of hormone levels and applications thereof. Inventor.
Companies Founded
2020 to Present Broadwing Bio. Envisioning an end to blindness. Antibody therapeutics company to treat major causes of adult vision loss guided by genetically validated targets.
Scientific Advisory Boards
2018 to 2022 Maze Therapeutics. Maze Fellow. Kidney disease biotechnology company focused on genetically validated targets.
2019 Related Sciences. Data science driven drug foundry.
2018 Paradigm4. Data sciences analytics company.
Employment
Stanford allows annual leave to its faculty. I took two years of leave to learn about company formation and building biotechnology companies.
2022 to 2023 Head of Statistical Genetics. Maze Therapeutics.
2021 to 2022 VP of Human Genetics. HIBio.
2014 to 2016 Computational Scientist. Broad Institute.