I’m a Machine Learning + Advanced Hardware Research Scientist at Dell AI Research as part of the Office of the Global CTO. I’m also a visting researcher at the EMERGE Lab at New York University with Professors Eugene Vinitsky and Roy Fox. Prior, I was a visiting researcher with the RL + Vision Lab at MILA advised with Professor Samira Kahou. Before that, I was a Bay State Fellow masters student in Computer Science at the University of Massachusetts where I was fortunate to be advised by Professor Bruno Castro da Silva and Professor Eliot Moss. I was also a member of the BiNDS Lab where I am fortunate to work with Professor Hava Siegelmann on temporal aspects of machine intelligence. In a past life I completed my undergraduate at UMass Amherst with a double degree in Computer Science and Computer Engineering where I was awarded the CICS Outstanding Undergraduate Award and ECE Award of Excellence for each respective degree. I led my undergrad ECE senior design project and received an honorable mention for it.



My goal is to create AI systems that can make good decisions in complex, dynamic, and uncertain environments using broadly intelligent behaviors. Intelligent behaviors are a combination of varying fields inspired by human intelligence—like decision-making, reasoning, working with uncertainty of surrounding actors, and robotic learning/planning—with the key challenge lying in the safe, effective, and generalizable combination of these different areas. My research areas are in reinforcement learning and machine learning, and I currently work in Multi-Agent, Hierarchical and Model-Based RL, Representation Learning, and Neuroscience-Inspired ML as a first foundational step to this long term goal, and I am keen to explore additional areas in Machine Learning and Cognitive Science.


Note: I am running the 2025 NYC Marathon in support of Ovarian Cancer. Please consider sharing or donating here! Consider following my marathon journey too!



News

  • [11/02/24] 6 Patents on Foundation Models filed with USPTO!
  • [10/12/24] Hierarchical Universal Value Function Approximators! New Paper!
  • [09/12/24] Joining the EMERGE Lab at NYU as a Visiting Researcher to work on Multi-Agent and Hierarchical RL with Professors Eugene Vinitsky and Roy Fox!
  • [05/21/2024] New Paper on Representations in Reinforcement Learning; submitted!
  • [03/01/2024] Changing ORGs in Dell, we are now the AI Research and Innovation (AIRI) Group!
  • [11/02/2023] Paper accepted at IEEE Transactions-ASE!
  • [10/12/2023] Joined the RL + Vision Lab at MILA as a Visiting Researcher!
  • [09/12/2023] New paper inspired by Neuroscience on natural-time; submitted!
  • [06/12/2023] Presented a paper at IEEE VTC in Florence Italy!
  • [11/16/2022] New preprint submitted to IEEE T-ASE!
  • [07/22/2022] Our paper on model-based reinforcement learning leveraging Physics was accepted at the DARL workshop at ICML 2022! Looking forward to being in Baltimore!
  • [05/27/2022] I will be an Advanced Hardware Research Intern at the CTO Research group at Dell Technologies for summer 2022.

Service

  • Reviewer:
    • Nature Communications: 2024, 2025
    • IEEE Transactions-ASE: 2022, 2023, 2024

Timeline


09/24 - Present DM

Part-Time: Visiting Researcher at EMERGE Lab, New York University.
Advised by Professors Eugene Vinitsky and Roy Fox.

06/2023 - Present DM

Full-Time: Advanced Hardware + ML Research Scientist at Dell AI Research and CTO Group in Dell EMC, Hopkinton.
Advised by Michael Robillard and Trevor Conn.

12/2023 - 06/24 DM

Part-Time: Visiting Researcher at MILA Quebec.
Advised by Professor Samira Kabou.

2023 DM

Graduated from UMass Amherst with a MS in Computer Science.
Received a Bay State Fellowship. Member of Autonomous Learning Lab with Professor Bruno Castro da Silva, BiNDS Lab with Hava Siegelmann, and Systems Lab with Eliot Moss.

06/2022-06/2023 DM

Advanced Hardware Research Intern at CTO Group in Dell EMC, Hopkinton.
Advised by Michael Robillard and Trevor Conn.

2021 DM

Graduated from UMass Amherst with a BS in Computer Science.
CICS Outstanding Undergraduate Achievement Award.

2021 DM

Graduated from UMass Amherst with a BS in Computer Engineering.
ECE Award of Excellence & Honorable Mention - Senior Design Project.
Member of Commonwealth Honors College.
Thesis Title: Machine Learning and Path Optimization-Based Autonomous Drones for Early Forest Fire Detection

2020 DM

Advanced Hardware Research Intern at CTO group in Dell EMC, Hopkinton.
Advised by Michael Robillard and Michael Healy.

2019 DM

Software Engineering Intern at New York Stem Cell Research Foundation .
Advised by Sean DesMarteau