Hello! I am a recent Yale CS graduate, part-time MS student at Columbia Engineering, and currently working as a GPU compiler engineer at Qualcomm in San Diego. My interests lie at the confluence of computer systems programming and quantum computing. You can read more about me below or in my CV here.
Graphics Compiler Engineer, Qualcomm (Adreno Graphics Compiler) — 2022–Present
• Focus on OpenGL API feature development and maintenance in Qualcomm's Adreno graphics high-level compiler.
• Summer 2021 Intern: Built an AMBER-based unit-testing framework for graphics and compute shaders; implemented package extensions based on team needs.
Student Researcher, Rubenstein & Yuen Group, Columbia University — 2024–Present
• Contributing to QExpress, a cross-platform optimizing compiler for neutral-atom, superconducting, and trapped-ion quantum computers.
Student Researcher, Bhattacharjee Group, Yale University — 2021–2024
• Developed, tested, and analyzed a quantum random-walk model for the two-alternative forced-choice (2AFC) decision problem (continuation of senior thesis).
Undergraduate Learning Assistant, Yale Dept. of Computer Science — 2021–2022
• Assisted instruction and student support for CPSC 474/574 and CPSC 201.
Student Researcher, Gerstein Bioinformatics Lab, Yale University — 2019–2021
• Full-stack development for PARSE, a tool prioritizing potentially causal RBP variants and LD variants related to disease.
Summer Research Intern, Jason Ernst Lab (Bruins in Genomics), UCLA — Summer 2020
• Implemented a machine-learning extension of the Sharpr-MRPA model for regulatory genomics analysis.
Research Intern, Radev Group (LILY), Yale University — Summer 2019
• Designed a hybrid extractive–abstractive model for multi-document summarization and tested baselines on the MultiNews dataset.
Research Intern, Holley-Bockelmann Group, Vanderbilt University
• Modeled physical consequences of the primordial black hole dark matter hypothesis using departmental compute resources.
Exploring the Impact of Sentiment Analysis on Current Methods of Fake News Detection.
M. Yang, L. Flores, H. Hunma, B. Trevisan. Yale Undergraduate Research Journal 3(1), Spring 2022
• Implemented a BERT-based sentiment analysis module to augment fake-news detection pipelines.
Radiation Emissions of Primordial Black Holes as Dark Matter in a Dwarf Galaxy.
M. Yang, K. Holley-Bockelmann, F. Munshi. Young Scientist 8:52–54, 2018
• Modeled expected radiation signatures under the primordial black hole dark matter hypothesis.
The QUATRO Application Suite: Quantum Computing for Models of Human Cognition.
R. P. Pothukuchi et al., including M. Yang. arXiv:2309.00597 (Submitted 2024)
• Developed quantum random-walk implementations on D-Wave quantum annealing systems to model the two-alternative forced-choice decision problem.
A D-Wave–Annealing-Based Quantum Random Walk Model of Cognition.
Undergraduate Senior Thesis by M. Yang.
• Undergraduate thesis work included in the larger QUATRO manuscript currently under review.
YHack Hackathon — Winter 2022: Top 5 finalist. See "Other Projects" for project details.
UCLA BIG Research Excellence Award — Summer 2020
Yale College Dean's Research Fellowship — Summer 2020
Davenport College Richter Fellowship — Summer 2019
Yale College First-Year Summer Research Fellowship — Summer 2019
Co-President, Yale Undergraduate Aerospace Association — 2020–2021
• Led the largest on-campus engineering club as one of two co-presidents.
• High-Altitude Balloon Team Lead (2019–2020); developed a GPS-guided parafoil system for payload retrieval; project received a 2019 NASA Connecticut Space Grant for Student Projects.
Davenport Liaison, Davenport Pops Orchestra — 2018–2021
• Coordinated grants, performance logistics, and relations between Davenport Pops Orchestra and Davenport College.
YHACK 2020 — Covid Resource App
• Developed an Android COVID resource app with contact tracing, social distancing mapping, and a VR social distancing “ruler”.
• Built a Django-based site for posting and discovering street art in New Haven with Google Maps integration.
brk/sbrk, mapping physical memory to virtual memory and exposing a malloc API.abash) with command pipelines using direct syscalls.stdio-like library with caching that improved read/write/seek performance and included synchronization primitives implemented with syscalls.TEDxNashville Talk — Presented on uses of supercomputers and research from the Holley-Bockelmann group (2018).