Hi! I’m Michael, a second year Computer Science PhD student at MIT advised by Armando Solar-Lezama and supported by an NSF fellowship. My research currently focuses on improving machine learning model’s ability to reason about and generate programs. Previously, I was a security researcher at MIT Lincoln Laboratory. I graduated with my undergraduate from Northeastern University in 2018.

Aside from research, I spend most of my free time playing music or cooking (cooking much more these days). I take voice lessons with Kristin Lawler. I also intern/apprentice (apprentice sounds cooler I think) under the amazing chef Lisa Caldwell.

News

• 2023.05: Switched to the Computer-Aided Programming group advised by Armando Solar-Lezama.
• 2023.05: Finished my TA requirement by TA’ing 6.5660.
• 2023.04: RaceInjector is accepted at SOAP 2023.
• 2022.12: Finished my TQE requirement.
• 2022.06: NeuDep is accepted to ESEC/FSE 2022.
• 2022.05: CVE-2022-29968 found and presented ICML. Joseph was the real expert here - I just rode his coattails.
• 2022.05: COBRA-GCN was accepted and presented at DIMVA.
• 2022.04: Received the NSF GRFP.
• 2021.09: Started my PhD at MIT under Una-May O’Reilly in the ALFA group.
• 2019.01: First real job at MIT Lincoln Laboratory.
• 2018.12: Graduated from Northeastern University.

Publications

• RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms Michael Wang, Shashank Srikant, Malavika Samak, Una-May O’Reilly. SOAP 2023.
• NeuDep: Neural Binary Memory Dependence Analysis Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray. ESEC/FSE 2022.
• COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks Michael Wang, Alexander Interrante-Grant, Ryan Whelan, Tim Leek. DIMVA 2022.