https://orcid.org/0009-0006-3733-3716
Overview
Research Interests:
- Monte Carlo methods; high-dimensional sampling algorithms; Mixing times of Markov chains; MCMC; Sequential Monte Carlo; probabilistic graphical models; Bayesian computation; probabilistic Machine Learning; Computational complexity of statistical inference.
- Computational biology; Protein structure and folding; computational immunology; computational biophysics; statistical physics; computational statistical mechanics; molecular evolution.
Current Duke Appointments & Affiliations
Associate Professor of Statistical Science
·
2010 - Present
Statistical Science,
Trinity College of Arts & Sciences
Associate Professor in Computer Science
·
2011 - Present
Computer Science,
Trinity College of Arts & Sciences
Recent Scholarly Works
ABSEIL: A polypeptide helicity and ensemble prediction tool.
Journal article J Mol Biol · February 5, 2026 Nascent helicity in polypeptides and unfolded proteins arises from local structure formation and represents one of the earliest events in a protein folding reaction. Nascent helicity may also influence the physical properties of intrinsically disordered re ... Full text Link to item CiteThe effect of osmolytes on peptide helicity: Experiments and predictions.
Journal article Protein Sci · February 2026 Nascent helicity in polypeptides and unfolded proteins is a type of rapid local structure formation that could represent the earliest events in a protein folding reaction. Nascent helicity may also influence the physical properties of intrinsically disorde ... Full text Link to item CiteComputing the inducibility of broadly neutralizing antibodies under a context-dependent model of affinity maturation: applications to sequential vaccine design.
Journal article J Immunol · January 21, 2026 A key challenge in B-cell lineage-based vaccine design is understanding the "inducibility" of target neutralizing antibodies-the ability of these antibodies to be elicited by presentation of an immunogen. Induction relies on a combination of stochastic div ... Full text Link to item CiteRecent Grants
Computational Biology and Bioinformatics Training Grant
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2026 - 2031Investigating the development and contribution of individual plasma B cells to broad HIV serum neutralization
ResearchInvestigator · Awarded by National Institutes of Health · 2026 - 2031DMS/NIGMS 1: Challenges in Stochastic Modeling and Computation for Sequential Vaccine Design
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2024 - 2027View All Grants
Education
Stanford University ·
2002
Ph.D.
University of California, Berkeley ·
1995
B.A.