Investigator, Other (M) Molecular Biology, Mass General Research Institute

Research Associate in Genetics Harvard Medical School

analytical methods; big data analytics; complex systems; machine learning; molecular dynamics simulations My research develops computational methods for extracting robust signals from high-dimensional, noise-dominated complex systems. I specialize in reconstructing latent structure from sparse, indirect measurements: recovering 3D configurations from 2D observational data where noise variance exceeds signal by orders of magnitude. This work requires building end-to-end pipelines from raw empirical data to validated predictive models, combining statistical inference, stochastic process modeling, Molecular Dynamics methods, and machine learning. I have executed simulations at 130,000+ processor cores and identified dynamical regimes in time series dominated by stochastic fluctuations. My core expertise lies in inference under extreme uncertainty, dimensionality reduction, and scaling computational approaches to massive datasets.