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@solislemuslab

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YunyiShen/README.md

I am a PhD candidate in the EECS department at MIT affiliated with LIDS. I study scientific machine learning and statistics with applications in genetics, biophysics and astronomy. I used to be a field ecologist and I keep a line of work on large carnivores (big cats and dogs in the wild). I consider myself more of a naturalist liking animals and stars and willing to study them. Most of my academic work can be found on Google Scholar and arxiv.

Quick Facts:

  • 🔭 I’m currently working on statistical problems in ecology, genetics and astronomy
  • 🌱 I’m currently learning statistics (in a CS department) and doing ecology stuff as a side.
  • 👯 I’m looking to collaborate on any statistical ecology/astronomy stuff
  • 📫 How to reach me: yshen99[at]mit[dot]edu; yshen99[at]outlook[dot]com
  • ⚡ Fun fact: Intro to Statistics is one of the courses I got the worst score during undergrad.

Pinned Loading

  1. SB-Iterative-Reference-Refinement SB-Iterative-Reference-Refinement Public

    Multi-marginal Schrödinger Bridges with Iterative Reference Refinement (AISTATS'25)

    Python 5 1

  2. snapMMD snapMMD Public

    Forecasting stochastic dynamics from population snapshots by least MMD fitting

    Python 1

  3. mmTrajectory-inference-benchmarks mmTrajectory-inference-benchmarks Public

    Some benchmarking dataset/simulation for multimarginal trajectory inference

    Python

  4. transceiver-dev transceiver-dev Public

    Perceiver for data from (astronomical) transients

    Python 2

  5. ARM-FI ARM-FI Public

    Active reward modeling with last layer Fisher Information (ICML'25)

    Python 6

  6. holarissun/RewardModelingBeyondBradleyTerry holarissun/RewardModelingBeyondBradleyTerry Public

    official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and Alternatives

    Python 66 4