Scholar

Erik Thiede

Google Scholar ID: VPp8mhAAAAAJ

Asst. Prof of Chemistry and Chemical Biology, Cornell University

moleculesmodels of molecules

Citations & Impact

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Citations

628

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Publications

Co-authors

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Selected papers include 'Understanding the Sources of Error in MBAR through Asymptotic Analysis', 'Autobahn: Automorphism-based graph neural nets', 'A Bayesian approach to extracting free-energy profiles from cryo-electron microscopy experiments', and 'Galerkin approximation of dynamical quantities using trajectory data'.

Research Experience

Currently an Assistant Professor in the Department of Chemistry and Chemical Biology at Cornell University, starting from Summer 2023; Developed new algorithms to extract free energies from Cryo-EM data with the Structural Molecular Biophysics Group at Flatiron; Worked with Prof. Risi Kondor on new approaches to learning on chemical systems; Derived error estimates for the MBAR equations with Sherry Li.

Education

Ph.D., supervised by Professors Aaron Dinner and Jonathan Weare, focusing on enhanced sampling algorithms for molecular dynamics.

Background

Research interests: Theoretical and computational chemistry. Specialization: Intersection of data science, machine learning, and statistical approximation with chemistry.

Miscellany