Computational Biology · IISc Bengaluru
Dr. Meera Anand
I build computational models of how proteins fold under cellular stress, and study what goes wrong when they don't. My lab combines wet-lab experiments with machine learning to find patterns human eyes miss.
I lead the Protein Dynamics Lab, where we work at the intersection of structural biology and machine learning. Our group is especially interested in misfolding events linked to neurodegenerative disease, and we've spent the last several years building open-source tools that let other labs run the same simulations without needing a supercomputer.
Outside the lab, I mentor early-career researchers from smaller institutions who don't have easy access to computational resources, and I write occasionally about making science more reproducible.
Education Background
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2014
Ph.D. in Computational Biology
Indian Institute of Science, Bengaluru — Dissertation on stochastic models of protein aggregation.
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2009
M.Sc. in Biotechnology
University of Hyderabad — Graduated with distinction, specialization in structural biology.
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2007
B.Sc. in Life Sciences
Delhi University — Minor coursework in applied mathematics.
Work History
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2019 — Present
Associate Professor, IISc Bengaluru
Principal investigator, Protein Dynamics Lab. Supervising a team of 8 graduate and postdoctoral researchers.
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2016 — 2019
Postdoctoral Fellow, ETH Zürich
Developed machine-learning pipelines for predicting misfolding hotspots in membrane proteins.
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2014 — 2016
Research Associate, NCBS Bengaluru
Worked on early-stage simulation tools for cellular stress response pathways.