Overview
Computational biology, machine learning, Bayesian statistics, transcriptional regulation, genomics and epigenomics, graphical models, Bayesian networks, hidden Markov models, systems biology, computational neurobiology, classification, feature selection
Current Appointments & Affiliations
Professor of Computer Science
·
2013 - Present
Computer Science,
Trinity College of Arts & Sciences
Professor of Biology
·
2013 - Present
Biology,
Trinity College of Arts & Sciences
Bass Fellow
·
2014 - Present
Computer Science,
Trinity College of Arts & Sciences
Recent Publications
Inferring differential protein binding from time-series chromatin accessibility data.
Journal Article Bioinformatics advances · January 2025 MotivationDue to internal and external factors, the epigenomic landscape is constantly changing in ways that are linked to changes in gene expression. Chromatin accessibility data, such as MNase-seq, provide valuable insights into this landscape a ... Full text CiteAuthor Correction: Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis.
Journal Article Nature genetics · June 2024 Full text CiteRecent Grants
Methods to Elucidate the Dynamic Interplay of Transcriptional Regulation and Chromatin Occupancy
ResearchPrincipal Investigator · Awarded by National Institute of General Medical Sciences · 2021 - 2026Elucidating the Molecular Basis of Cellular Metal Stress by using Mass Spectrometry-Based Proteomic Methods
ResearchCollaborator · Awarded by National Institute of General Medical Sciences · 2022 - 2026IRES Track 1 IRTG Engaged in Dissecting and Reengineering the Regulatory Genome
ResearchMentor · Awarded by National Science Foundation · 2019 - 2023View All Grants
Education, Training & Certifications
Massachusetts Institute of Technology ·
2001
Ph.D.
University of Oxford (United Kingdom) ·
1996
M.Phil.
Duke University ·
1994
B.S.