People
16 results
16 results
Arthur Bigot
arthurbigot@fas.harvard.eduVisiting Scholar
I am a Data Science master’s student at ETH Zurich with a background in neuroscience, biology, and machine learning. I am interested in interpretability, AI safety, and biosecurity, with a focus on building robust and trustworthy models for biological...
Aniruddha Chattaraj
achattaraj@fas.harvard.eduPost-Doctoral Fellow
Department of Chemistry and Chemical Biology
I am broadly interested in the spatiotemporal organization of biomolecules inside the cell. My current project involves computational modeling of the multivalent protein clustering in the context of biomolecular condensate formation. I am curious to study...
Saadi El-Saadi
saadielsaadi@college.harvard.eduAB/AM Student
At the Shakhnovich group, my research focuses on computational and theoretical modeling of evolutionary fitness landscapes and the investigation of how ruggedness, epistasis, and navigability shape evolutionary trajectories. By applying fitness landscape...
Jonathan Feldman
jonathanfeldman@fas.harvard.eduVisiting Undergraduate Researcher
I am an undergraduate student at the Georgia Institute of Technology. I am interested in utilizing machine learning to model the structure and evolution of pathogenic proteins, aiming to aid in the development of novel therapeutics.
Marian Huot
mhuot@fas.harvard.eduVisiting Scholar
I am interested in modeling how viral proteins evolve under immune pressure by integrating biophysical constraints. My research combines statistical physics, machine learning, and experimental validation to predict antibody escape and optimize therapeutic...
Jio Jeong
Graduate Student
Department of Chemistry and Chemical Biology
I am interested in metabolons and understanding how those transient multi-protein complexes speed up metabolic flux in the living cell.
Junlang Liu
junlangliu@fas.harvard.eduGraduate Student
Department of Chemistry and Chemical Biology
I am broadly interested in understanding biological phenomena using methods and concepts from physics. My current research focuses on the dynamics of intrinsically disordered proteins (IDPs) and its relation to evolution. Using theoretical and...
Antoine Maechler
antoinemaechler@fas.harvard.eduVisiting Scholar
I am a master's student from Ecole Polytechnique, France. I'm interested in applications of AI and Geometric Deep Learning to protein-related problems and AI-driven drug discovery. I also study issues of multimodality, robustness, and interpretability in...
Vaibhav Mohanty
mohanty@hms.harvard.eduGraduate Student
Department of Chemistry and Chemical Biology
Harvard-MIT MD-PhD Program
My work introduced the foundations of fitness landscape design (FLD), my new approach to shape the evolutionary landscape of proteins to fight disease. Using FLD, I design "evolutionary traps" —for example, using antibodies—to combat the rapid evolution...
Sayantan Mondal
smondal@fas.harvard.eduPost-doctoral Fellow
Research Interest: liquid-liquid phase separation (LLPS) of intrinsically disordered polypeptides (IDPs) by employing coarse-grained (or generic model-based) molecular simulation techniques and tools from statistical mechanics.
Kibum Park
kibum_park@g.harvard.eduGraduate Student
Department of Chemistry and Chemical Biology
I am interested in studying protein folding and drug discovery using various computational methods.