Team

Meet the Hughes Lab research team! Post-docs, PhD students, and other junior mentees (MS, post-bacc, or BS).

Current members

Patrick headshot

Patrick Feeney

PhD student, Tufts CS

Interests:

  • Contrastive Learning
  • Representation Learning

Products:

Ethan Harvey headshot

Ethan Harvey

PhD student, Tufts CS

Interests:

  • Transfer Learning
  • ML for Neuro Images

Products:

Kyle Heuton headshot

Kyle Heuton

PhD student, Tufts CS

Interests:

  • Spatiotemporal forecasting
  • ML for Public Health

Products:

Kaitlin headshot

Kaitlin Gili

Post-doc Scholar, Tufts CS

Interests:

  • Mechanistic Modeling
  • ML for STEM Ed

Joined Jun 2024

Former members

Preetish headshot

Preetish Rath

PhD in Aug '24, Tufts CS
[dissertation]

Interests:

  • Time series
  • Decision-aware learning

Next Position:

Zhe headshot

Zhe Huang

PhD in Aug '24, Tufts CS
[dissertation]

Interests:

  • Semi-supervised Learning
  • Multiple Instance Learning

Next Position:

  • Postdoc at Cornell Med

Mike headshot

Mike Wojnowicz

Postdoc, 2020-2023

Interests:

  • Bayesian modeling
  • Time series

Next Positions:

Former affiliates

Kevin Cheng

PhD in 2023, Tufts ECE

Interests:

  • Time series

Next Positions:

  • '23: Takeda

Lily H. Zhang

post-bacc researcher in 2019

Interests:

  • Amortized inference

Next Positions:

  • '20: PhD student in CS at NYU (with Prof. Rajesh Ranganath)

Jyontika Kapoor

REU student in 2023, Tufts DIAMONDS

Interests:

  • ML for Public Health

Next Positions:

  • '24: PhD student in Stats/Data Sci at Northwestern

Mary-Joy Sidhom

2023 BSCS honors thesis, Tufts CS

Interests:

  • ML for Echocardiography

Next Positions:

  • '23: Software Engineer at ASML

Binh N. Chang ("Irene")

2023 Tufts BS in DS and Math

Interests:

  • supervised domain adaptation
  • style transfer

Next Positions:

Gian Marco Visani

2022 Tufts BS in CS

Interests:

  • Enzyme Promiscuity Prediction
  • COVID-19 modeling

Next Positions:

  • '23: PhD Student in Computer Science at U. Washington

Xi Chen

2021 Tufts MS in CS, masters project

Interests:

  • Bayesian methods for missing data

Next Positions:

  • '21: PhD Student in Computer Science at Rutgers

Yu Liu

2021 Tufts MS in Data Science, masters thesis

Interests:

  • treatment effect prediction

Next Positions:

  • '21: Merck

Manh Duc Nguyen

2019 Tufts BS in CS, honors thesis

Interests:

  • Bayesian deep learning

Next Positions:

  • '19: PhD Student in CS at U. Penn