Meet the Hughes Lab research team! Post-docs, PhD students, and other junior mentees (MS, post-bacc, or BS).
Current members
Patrick Feeney
PhD student, Tufts CS
Interests:
- Contrastive Learning
- Representation Learning
Products:
Kyle Heuton
PhD student, Tufts CS
Interests:
- Spatiotemporal forecasting
- ML for Public Health
Products:
Kaitlin Gili
Post-doc Scholar, Tufts CS
Interests:
- Mechanistic Modeling
- ML for STEM Ed
Joined Jun 2024
Former members
Preetish Rath
PhD in Aug '24, Tufts CS
[dissertation]
Interests:
- Time series
- Decision-aware learning
Next Position:
- Senior AI Consultant, Aberdeen Advisors
Zhe Huang
PhD in Aug '24, Tufts CS
[dissertation]
Interests:
- Semi-supervised Learning
- Multiple Instance Learning
Next Position:
- Postdoc at Cornell Med
Mike Wojnowicz
Postdoc, 2020-2023
Interests:
- Bayesian modeling
- Time series
Next Positions:
- '23: Postdoc at Harvard Biostats
- '25: Faculty at Montana State
Former affiliates
Lily H. Zhang
post-bacc researcher in 2019
Interests:
- Amortized inference
Next Positions:
- '23: 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: SWE at ASML
Binh N. Chang ("Irene")
2023 Tufts BS in DS and Math
Interests:
- supervised domain adaptation
- style transfer
Next Positions:
- '23: PhD Student in Statistics at Columbia (with Prof. Dave Blei)