Principal investigator
2025- Postdoctoral fellow. PhD
Predictive models of perturbational data.
2025- Postdoctoral fellow. PhD
Single-cell QTL architecture.
2025- Postdoctoral fellow. PhD
Methods for multi-modal perturbational screens.
2025- Postdoctoral fellow. PhD, co-advised with Alkes Price
Molecular architecture of disease risk and progression.
2024- Research fellow in Medicine. MD, co-adviased with Toni Choueiri
Germline mechanisms of immunotherapy outcomes.
2024- Postdoctoral fellow. PhD
Integration of GWAS and perturbational screens.
2024- Postdoctoral fellow. PhD
Single-cell eQTL mechanisms.
2024- Postdoctoral fellow. PhD
Gene-environment interactions and reinforcement learning for clinical policies.
2022- Clinical fellow, MD PhD, co-advised with Pradeep Natarajan and Giovanni Parmigiani
Longitudinal disease modelling.
2022- Postdoctoral fellow. PhD, Computer Science
Machine learning for digital histopathology.
2022- Postdoctoral fellow, PhD
Predictive models of non-coding variants.
2025- Doctoral student, Harvard BMI
Quantitative genetics and heritability estimation.
2025- Doctoral student, Harvard BIG
Machine learning for high-dimensional clinical data.
2023- Doctoral student, Harvard BBS, co-advised with Alkes Price
Context-specific geneti risk prediction.
2021- Doctoral student, Harvard BBS
Methods for single-cell and imaging data.
2021-2025 Medical Oncology Fellow, MD PhD, co-advised with Pasi Jänne
2025 Member of the faculty, Dana-Farber Cancer Institute
2022-2025 Postdoctoral fellow, PhD, co-advised with Eli Van Allen and Kevin Haigis
2025 Member of the faculty, Dana-Farber Cancer Institute
2023-2025 AstraZeneca Postdoctoral fellow, PhD, co-advised with Vishwa Nellore
2025 Researcher at AstraZeneca
2021-2025 Postdoctoral fellow. MD, Pathology
2025 Pathologist at Tempus, Inc
2023-2025 Postdoctoral Fellow, PhD
2025 Independent researcher
2018-2023 Postdoctoral fellow. DPhil, Physics
2023 AI/ML Engineer, Causal Machine Learning at GSK
2019-2022 Medical Oncology Fellow, MD, PhD, co-advised with Matt Freedman
2022 Assistant Professor, Dana-Farber Cancer Institute
2019-2022 Postdoctoral fellow. PhD, Molecular Biology
2022 Senior Scientist at Dewpoint Therapeutics
2020-2022 Instructor, PhD, Genetics, co-advised with Matthew Meyerson
2022 Assistant Professor, Memorial Sloan Kettering Cancer Center
2022-2025 Doctoral student, UCLA, co-advised with Noah Zaitlen
2025 Researcher at Meta
2020-2023 Doctoral student, Harvard SSQB, co-advised with Brian Cleary
2023 Postdoctoral fellow in Gusev lab
2019-2022 Doctoral student, Harvard BBS
2022 Postdoctoral fellow in Gusev lab
2019-2024 Doctoral student, MIT EECS
2024 Postdoctoral fellow in Zitnik Lab at Harvard DBMI
2022-2022 Computational Biologist
2023 Junior Specialist at UCSC
2022-2023 Masters student, MIT MEng
2018-2020 Research assistant, MIT MEng, CS & Molecular Biology
2020 Doctoral student at Stanford
2018-2019 Undergraduate researcher, co-advised with Matt Freedman
2019 Medical Student at the University of Cambridge
2024 Doctoral student, Harvard BIG
2024 Doctoral student, Harvard BIG
2023 Doctoral student, Harvard BIG
2023 Doctoral student, Harvard BBS
2023 Doctoral student, Harvard BBS
2022 Doctoral student, Harvard BIG
2021 Doctoral student. Harvard MD-PhD Program
2020 Doctoral student. Harvard BBS
2019 Doctoral student, Harvard Biostatistics
2019 Doctoral student. Harvard BIG
2018 Doctoral student. Harvard BIG
2018 Undergraduate researcher. Harvard Statistics