Peter Halmos
Scholar

Peter Halmos

Google Scholar ID: rctXG78AAAAJ
CS PhD Student, Princeton University
Optimal transportsingle-celltrajectory inferencespatial transcriptomicsmachine learning
Citations & Impact
All-time
Citations
23
 
H-index
2
 
i10-index
1
 
Publications
7
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications:
  • - Hierarchical Refinement: Optimal Transport to Infinity and Beyond, ICML 2025 (Oral)
  • - Learning Latent Trajectories in Developmental Time Series with Hidden-Markov Optimal Transport, RECOMB 2025
  • - Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling, NeurIPS 2024
  • - DeST-OT: Alignment of Spatiotemporal Transcriptomics Data, Cell Systems 2025 and RECOMB 2024
  • - Pooled RNA-IP approach to investigate variant effects on RBP binding and splicing, ASHG 2022
  • Preprints:
  • - System Identification for Continuous-time Linear Dynamical Systems, ArXiV
Research Experience
  • Worked at Foundation Medicine as an undergraduate, supervised by Justin Newberg, Garrett Frampton, and Megan Montesion. Contributed to two projects accepted to AACR 2020. Previously a teaching assistant for Organic Chemistry at Columbia with Professor Talha Siddiqui. Also teaches Computer Science at the King Summer Institute, where he has taught an introductory Java course.
Education
  • PhD in Computer Science at Princeton University, advised by Ben Raphael; Bachelor's degree in Computer Science from Columbia University with a concentration in Chemistry. Worked under the guidance of David Knowles at Columbia University and the New York Genome Center.
Background
  • Research interests lie at the intersection of pure machine learning and computational biology. Specifically interested in the computational and mathematical aspects of optimal transport, including low-rank and neural optimal transport, as well as flow-based generative models. Focus is on developing and adapting these tools to quantitatively infer developmental trajectories in single-cell and spatial transcriptomics, and to understand the dynamics of cell differentiation in space and time.
Miscellany
  • Outside of academic interests, enjoys hiking, birding, botany, and photography.
Co-authors
0 total
Co-authors: 0 (list not available)