Computational biophysics and physical chemistry research in MIT ChemE Prof. Qi’s lab. Rebuilt a predictive nanoparticle adhesion model and expanded it to consider receptor-specific binding and configurational entropy. By mapping behavior across a vast, multidimensional design space, this framework may help screen promising drug formulations while reducing reliance on costly empirical testing

Undergraduate group research (REU) to motivate a generalized shell model of turbulence, building on L’vov et. al (1998). Our work proves the existence & uniqueness of weak & strong solutions, investigates the existence of inertial manifolds, and computationally validates the model's behavior by comparing flux and energy spectra against literature

Presented at JMM 2026 in Washington DC

REU Advisors Prof. V. Martinez, Hunter College & Prof. C. Victor, Texas A&M

Designed and coded a physics-informed neural network to decompose the capacity fade of lithium-ion batteries into specific electrochemical processes to improve interpretability of systems' health and extend usable life. Applications include EVs, consumer electronics, and grid-energy storage

Terra NYC STEM Fair 2026 - 1st Place, Engineering

Onboarded as part-time intern in a nanotech wet lab at CUNY's Advanced Science Research Center. Provided significant budget to indepdently design, procure materials, and build a machine that measures the interfacial and bulk rheological properties of mucin-based fluids. Applications include drug delivery, respiratory health, and biomaterials

Lab Advisor Professor Adam Braunschweig

Independent neuroscience research to build a proprietary stochastic gradient descent algorithm that estimates parameters of the Fitzhugh-Nagumo system of ODEs (used to model neuron dynamics) given voltage data. Applications include electrotherapy, digital prosthetics, and better cognitive modeling

Terra NYC STEM Fair 2025 - 2nd Place, Computational Biology

Research project leveraging nano-microphones to determine the location of incident sounds; project utilizes skills & insight gained from 25+ hours in QNF cleanroom fabricating and characterizing micropatterns, microfluidic devices, and quantum dots

Project Advisor Professor Gyuseok Kim, University of Pennsylvania Engineering & Co-Director of Singh Center for Nanotechnology