Assistant Professor, Chemical and Biomolecular Engineering
p.rauscher@nyu.edu

Phil is a theoretical and computational physicist with a background spanning academia and industry. He obtained his B.S. in Physics from Emory University (2013) before joining IBM as a software consultant. After completing his Ph.D. in Molecular Engineering at the University of Chicago (2020), he joined Syensqo (then Solvay) as a research scientist. He has been at NYU Tandon since 2025. In his free time, he enjoys playing with his two children, cooking, chess, rugby, and shot put.

aa13464@nyu.edu

Anas Aqil is a Ph.D. student in Chemical Engineering at NYU Tandon. He applies machine learning to large, high-dimensional electrochemical reaction datasets to build predictive models and uncover patterns that can guide experiments and system design. He is especially interested in bridging rigorous chemical engineering fundamentals with modern data-driven methods. His work sits at the intersection of electrochemistry, data science, and chemical reaction engineering. Prior to his doctoral studies, he worked as a Technical Services Engineer in the petroleum refining industry, specializing in process simulation, design, and optimization.

hm3540@nyu.edu

Hongyu Meng is a Ph.D. student in Chemical and Biomolecular Engineering at NYU Tandon. His research broadly explores the thermophysical, rheological, and mechanical behaviors of complex, multi-component material formulations using multiscale modeling. He integrates chemical engineering fundamentals with modern data-driven tools, applying machine learning to large, high-dimensional experimental and simulation datasets to build predictive models and uncover formulation–property correlations that can guide material design. Prior to NYU, Hongyu earned his M.S. in Chemical Engineering from Columbia University and a B.E. from Tiangong University.

ss20335@nyu.edu

Shaurya Shukla is a Ph.D. student in Chemical Engineering at NYU Tandon School of Engineering. His research focuses on nonequilibrium processes at interfaces in energy and separation systems, with particular emphasis on electrochemical and polymer-based materials. He aims to develop thermodynamically consistent models that connect molecular-scale interfacial phenomena to macroscopic transport, mechanical response, and system-level performance. His work integrates chemical engineering fundamentals, including thermodynamics and transport phenomena, with computational modeling and data-driven approaches to study complex, multicomponent systems. Shaurya holds a B.Tech. in Chemical Engineering from India, where he worked on data-driven modeling of monoclonal antibody production in bioreactors.