Assistant Professor of Chemistry
Neukom Faculty Cluster of Computational Science
Department of Biochemistry and Cell Biology
Dartmouth Cancer Center
B.A. Pomona College
Ph.D. University of Cambridge
(Advisor: Prof. Michele Vendruscolo)
NSF Postdoctoral Fellow, Columbia University
(Advisor: Prof. Arthur G. Palmer III)
Korey Reid, PhD
B.A. University of California Davis, Davis, CA
M.S. California State University Fresno, Fresno, CA
Ph.D. in Chemistry, University of Reno, Reno, NV
Advisor: Prof. David Leitner
Thesis title: Dynamics and Energy Exchange of Nonbonded Contacts within Proteins
Korey utilizes molecular simulations and NMR spectroscopy to characterize the binding modes of small molecules to disordered proteins and study the role of solvation dynamics in biomolecular condensates
Aparajita Chakraborty, PhD
B.Tech & M.Tech Dual Degree. KIIT University, School of Biotechnology, Bhubaneswar, Odisha, India
Ph.D. in Biological Sciences , University of Auckland, New Zealand
Advisor: Prof. Jane Allison
Thesis title: Characterising anti-microbial peptide specificity and mechanism using molecular dynamics simulation.
Apara is using molecular simulations and Markov State Models to understand the spatial and temporal coupling of intermolecular interactions between small molecules and intrinsically disordered proteins
Jaya Krishna Koneru, PhD
Integrated M.Sc. in Physics, University of Hyderabad, India
Ph.D. in Physics, Tata Institute of Fundamental Research, Hyderabad, India
Advisor: Prof. Jagannath Mondal
Thesis title: Understanding bio-molecular recognition of various biological systems.
JK is developing molecular simulation methods and applying enhanced sampling methods to study the interactions between small molecules and intrinsically disordered proteins
3rd Year Graduate Student
B.Sc in Chemistry, Gauhati University, Assam, India
M.Sc in Chemistry, Tezpur University, Tezpur, India
Kaushik is using maximum-entropy methods to integrate biophysical data with molecular simulations
2nd Year Graduate Student
B.S in Chemistry, Loyola University Chicago
Tommy is using Markov State Models and machine learning methods to characterize the conformational ensembles and molecular recognition events of disordered proteins.
Chemistry, Dartmouth 24'
Vaishnavi is experimentally characterizing the conformational ensembles of intrinsically disordered proteins and the interactions between intrinsically disordered proteins and small molecule ligands
Computer Science, Dartmouth 24'
Franklin is applying machine learning methods to characterize the conformational ensembles of intrinsically disordered proteins