My resume
Education
- Sep 2024 · May 2025M.S. Chemical and Biomolecular EngineeringUniversity of Maryland, College ParkMy research designing and implementing automated solutions for labor-intensive laboratory processes enables high-throughput experimentation, cuts costs, and improves the reliability and repeatability of experimental data.
- Sep 2020 · May 2024B.S. Chemical Engineering, Minor Computer ScienceUniversity of Maryland, College ParkDuring my undergraduate years at UMD, I worked at the Maryland Robotics Center and was a member of the Startup Shell club. I also performed research at the PYC lab where I co-authored two papers.
Work Experience
- Oct 2023 · PresentPlatform Design LeadMateriAiMateriAi enables the next-generation of material discovery and design. We leveraging predictive modeling to drive design space exploration, effectively perform multi-objective optimization, and deliver better outcomes. Received 100k grant funding from Maryland Innovation Initiative (MII).
- Feb 2022 · PresentGraduate ResearcherPYC Lab, UMDDevelop sustainable materials using Machine Intelligence; leverage machine learning, generative AI, and collaborative robotics to enable programmable material formulation. Published 2 papers in Nature Nanotechnology and Nature Communications.
- Feb 2023 · PresentAutomation ConsultantMaryland Robotics CenterArchitect autonomous solutions for affiliated groups to incorporate into laboratory research.
- Feb 2016 · Dec 2016Algorithms Development InternPhysical Sciences Inc.R&D company serving diverse technical fields. Aided SBIR funded project to perform through-barrier detection of explosive liquids.
Publications
- 2024Machine intelligence accelerated design of conductive MXene aerogels with programmable propertiesnature communicationsUsed machine learning and collaborative robotics to enable efficient, high-throughput experimentation to accelerate the design of conductive MXene Aerogels for use in personal heating devices.
- 2024Machine intelligence-accelerated discovery of all-natural plastic substitutesnature nanotechnologyDemonstrate novel workflow for material discovery tasks by leveraging predictive modeling and active learning loops to enable the programmable design of biodegradable plastic films for the diverse replacement of single use plastics.