Alumni

Former members of the BRAINS research group who have contributed to our research and moved on to new opportunities.

Co-advised PhD Alumni

Shruthi Chari

Shruthi Chari

An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systems
F’18 - Su’24
Research Scientist at Bristol Myers Squibb

Master’s Alumni

Justin Ottesen

Justin Ottesen

General Swarm Contract Simulator
F’24 - F’25
Machine Learning Engineer, Deeli AI

Joshua Carson Youngbar

Joshua Carson Youngbar

Knowledge Graph Embedding Exploration
S’25 - F’25
Technical Intern, Advanced Research Associates

Yu-Kai Wang

Yu-Kai Wang

Text-Summarization Quality Evaluator
F’24 - S’25
Machine Learning Engineer, Deeli AI

Samyuth Sagi

Samyuth Sagi

EmSights
S’24 - S’25

Aarnav Patel

Aarnav Patel

Swarm Contracts
F’24 - S’25
Software Engineer, Lockheed Martin

Brendan Capuzzo

Brendan Capuzzo

Explanations for Mobile AI
S’24 - F’24
Software Engineer, Microsoft

Matthew Uryga

Matthew Uryga

DeFi Analysis
F’23 - S’24
Software Engineer, Goldman Sachs

Recent Undergraduate Alumni

David Fong

David Fong

MentalHealthAI
F’23 - S’24

Kaiyang Chang

Kaiyang Chang

CRAFT Blockchain Interoperability & Smart Derivatives Contract Encoding
S’24 - Su’25

Sagar Sahu

Sagar Sahu

Two-Way Traceability for Hybrid Insurance Contracts and Explainable Risk Analysis
F’25

Tianshu Chu

Tianshu Chu

MentalHealthAI
F’23 - S’24

Xin Meng

Xin Meng

Gap and Overlap Analysis in Computable Insurance Policies
F’25

Other Undergraduate Alumni

The following undergraduate students have also contributed to our research:

  • Bijun Wu
    Federated LLMs
    F’24 - S’25
  • Faizaan Ali
    Data Provenance for AI Model Training
    F’24 - S’25
  • Chengyu Zhang
    Privacy for Vertical Federated Learning
    F’24
  • Siddhant Agarwal
    Explainability for Mobile AI
    F’24
  • Albert Bao
    AI Model Safety
    F’24
  • Ashley Chan
    EmSights
    F’24
  • Tripp Lyons
    Flow Matching for Data Compression & Blockchain Interoperability
    F’24 and F’23
  • Joshua Moskoff
    Smart Derivatives Contracts
    F’24
  • Suhas Palwai
    Automating Financial Contracts
    F’24
  • Daniel Obolensky
    Tracing AI Training Data
    F’24
  • Max Zhang
    Machine Unlearning for Privacy and Piracy
    F’24
  • Matthew Merritt
    Federated Learning with Explainability
    S’24
  • Aarnav Patel
    Swarm Contracts
    F’23 - S’24
  • Samyuth Sagi
    EMSights
    S’23 - F’23
  • Manan Shukla
    BlockIoT
    F’19 - S’23
  • Kate Carbone
    BlockIoT & Blockchain Interoperability
    F’21 - S’23
  • Jared Gridley
    Crypto Scam Detection
    F’21 - S’23
  • John Cohen
    Research Data Sharing
    F’22 - S’23
  • Vishnu Kchittibhooma
    Blockchain Interoperability
    F’22 - S’23
  • Conor Flynn
    DeFi Data Engine
    S’23
  • Noah Kader
    Web Cleanup!
    S’23
  • Stanley Guo
    Blockchain Interoperability
    S’23
  • Jiawei Wu
    Swarm Contracts
    S’23
  • Haoran Bao
    Swarm Contracts
    S’23
  • Ryan Cheng
    Swarm Contracts
    S’23
  • Huy Chu
    Explainable Mobile App Development
    S’23
  • Megan Goulet
    Explainable Mobile App Development & Health Empowerment through Analytics Learning and Semantics (HEALS)
    Su’20 & S’23
  • Zhihan Chen
    Health Empowerment through Analytics Learning and Semantics (HEALS)
    Su’22 - F’22
  • Kacy Adams
    Research Data Sharing
    F’20 - F’22
  • Catherine Wang
    Decentralized Social Network Analysis & Research Data Sharing
    S’21 - F’22
  • Javier Marin-Maymi
    BlockIoT
    F’22
  • Griffin Dong
    Blockchain Interoperability
    F’22
  • Henry Liu
    Algorand Blockchain Research
    F’22
  • Jacky Xu
    Algorand Blockchain Research
    F’22
  • Noe Horowitz
    Research Data Sharing
    F’21 - S’22
  • Runxin Li
    NFT Research
    F’21 - S’22
  • Cindy Lyu
    BlockIoT
    Su’22
  • Juhi Gupta
    BlockIoT
    S’22
  • Junxi He
    NFT Research
    S’22
  • Junyi Wu
    NFT Research
    S’22
  • Qizhi (George) Lu
    Health Empowerment through Analytics Learning and Semantics (HEALS)
    Su’21 - S’22
  • Prasant Acharya
    Health Empowerment through Analytics Learning and Semantics (HEALS)
    Su’21 - F’21
  • Karthik Dusi
    BlockIoT
    F’21
  • Ruoyi (Jennifer) Zhan
    Research Data Sharing
    S’21 - F’21
  • Andrew Szoke
    Research Data Sharing
    S’21
  • Sahith Bhamidipati
    Research Data Sharing
    S’21
  • Jiahang Wang
    Smart Contracts Augmented with LEarning and Semantics
    F’20 - S’21
  • Roman Vakhrushev
    Federated Learning with Smart Contracts
    F’20 - S’21
  • Kharn Nigam
    Federated Learning with Smart Contracts
    S’21
  • Benjamin Kelly
    Research Data Sharing & Health Empowerment through Analytics Learning and Semantics (HEALS)
    S’20 - F’20
  • Daniel Kazenoff
    Crypto Scam Detection
    F’19 - S’20
  • Yuheng Zhou
    Health Empowerment through Analytics Learning and Semantics (HEALS)
    S’20
  • Aaron Hill
    Health Empowerment through Analytics Learning and Semantics (HEALS)
    S’20
  • Ruisi Jian
    Health Empowerment through Analytics Learning and Semantics (HEALS)
    S’20
  • Samarth Patel
    Health Empowerment through Analytics Learning and Semantics (HEALS)
    S’20
  • Xingjian Zhao
    Smart Contracts Augmented with LEarning and Semantics
    Su’19 - S’20
  • Shuze Liu
    Smart Contracts Augmented with LEarning and Semantics
    F’18 - S’20
  • Yanlin Zhu
    Smart Contracts Augmented with LEarning and Semantics
    F’18 - S’20
  • Robin Hong
    Smart Contracts Augmented with LEarning and Semantics
    S’19
  • Gretchen Forbush
    Smart Contracts Augmented with LEarning and Semantics
    Su’19 - S’20
  • Jade Franklin
    Health Empowerment through Analytics Learning and Semantics (HEALS)
    Su’19