Assistant Professor, University of Central Florida (UCF)
Co-founder of Parallel Squared Technology Institute (PTI)
PhD, Northeastern University, 2022
BE & ME, Stevens Institute of Technology, 2016
Tianqing (TQ) Feng is a Ph.D. student in Materials Science and Engineering at the University of Central Florida, working in the Petelski Lab under Dr. Aleksandra A. Petelski-Kulik. He earned his B.S. in Computer Engineering with a minor in Computer Science from Louisiana State University. His research interests include leveraging mass spectrometry and single-cell proteomics to study cellular heterogeneity, biomaterial interactions, and disease mechanisms, as well as developing AI/ML algorithms for large-scale biological data integration and analysis.
Prior to joining UCF, Tianqing worked as a Database Analyst and Software Development Engineer at the Center for Precision Medicine at UT Health Science Center San Antonio, where he developed and optimized computational workflows for spatial metabolomics mass spectrometry data, performed large-scale clinical and multi-omics analyses, implemented AI-driven decision-making models for survival prediction, and helped initiate a collaboration with Microsoft on healthcare AI for nephrology applications. At LSU, he led the development of an industrial autoclave data extraction system under Lockheed Martin Space and conducted research on blockchain-based contact tracing mobile applications.
Nicholas Smotherman graduated from Texas A&M University in College Station with a BS in Biological and Agricultural Engineering. During his undergraduate research, his work involved handling lab animals for a genetic viral determinant study, the development of a haptic feedback array, and conducting a proprioception-based pilot experiment to identify haptic dissonance thresholds.
Since finishing his undergraduate education, he has spent a year and a half in a chemical wet lab for Messina Hof Winery in Bryan, Texas. Currently, he is working towards a research career in neuroengineering and tissue engineering, with particular interests in aging research, regenerative medicine, and targeted neural treatment.
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