Yunyi Shen
Scholar

Yunyi Shen

Google Scholar ID: 943yT78AAAAJ
PhD candidate, EECS, MIT
Probabilistic machine learningInverse problemStatistical ecologySupernovae
Citations & Impact
All-time
Citations
153
 
H-index
6
 
i10-index
4
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Research Experience
  • Junior Investigator at IAIFI and affiliated with LIDS at MIT, leading interdisciplinary research projects.
  • Current projects include:
  • - Trajectory and SDE inference in computational biology using multimarginal Schrödinger bridges and least squares in distribution space;
  • - Identifiability theory of stochastic dynamics;
  • - Probabilistic machine learning and generative models in physics, especially time-domain astronomy, focusing on irregularly sampled sequence data (e.g., time series, spectra) and simulation-based inference;
  • - Theory of learning human preferences from binary annotations, corresponding experimental design, and robustness checks, with applications in LLM alignment and evaluation;
  • - Population ecology of apex predators (e.g., jaguars, wolves) using capture-recapture models.
  • Past work includes:
  • - Species and feature sampling with heterogeneity, multivariate (completely) random measures, and applications in genetics and sequencing strategies;
  • - Identifying stellar flares from photometric data using Hidden Markov Models;
  • - Spike-and-Slab LASSO for multivariate regressions/chain graphs, its frequentist properties, and experimental design for microbiome studies.