team
We are the Accelerate Data intensive Applications through Programming-Languages Techniques (ADAPT) lab. Our focus is on building novel program abstractions and optimizations targeting machine learning and data science workloads and to build evolvable compiler construction techniques using both machine learning and formal methods techniques. Informally, we do projects in both ML for compilers and compilers for ML and related areas. There are opportunities to join on-going projects at ADAPT lab. Please see PI's front page for how to reach out to find such opportunities.
Current Members
Charith Mendis
Principal Investigator
Damitha Lenadora
PhD student since 2021
Ahan Gupta
PhD student since 2022
Stefanos Baziotis
PhD student since 2021
Vimarsh Sathia
PhD student since 2022
Devansh Jain
PhD student since 2023
Jai Arora
PhD student since 2023
Chamika Sudusinghe
PhD student since 2023
Wanyu Zhao
PhD student since 2023
Yuhao Ge
MS student since 2023
Avaljot Singh
PhD Student student since 2022
co-advised with: Gagandeep Singh
Muyan Hu
PhD Student student since 2023
co-advised with: Vikram Adve
Yueming Yuan
Undergraduate student since 2022
Alumni
Yufeng Wang
MSc, 2023
Thesis: A framework for programming and optimizing temporal graph neural networks
Now: Compiler Engineer at Tesla (Dojo system)
Tianfan Xu
BSc, 2023
Project: Verifying XLA tensor rewrite rules
Now: MS student at Harvard