Chase Brown is a materials engineer and neuroscientist who develops tools across the fields of nanomaterials, photonics, bioinformatics, machine learning, and artificial intelligence to facilitate the automation of scientific discovery. He has a M.Sc. in chemical and biological materials engineering from the University of Oklahoma and a Ph.D. in neuroscience from the OU Health Sciences Center in partnership with the Oklahoma Medical Research Foundation. Chase also has extensive industrial experience from managing carbon nanotube production, separation, and characterization operations as the lead research and development engineer at SouthWest Nanotechnologies.

His research at these institutions concentrated on optoelectronic and physicochemical properties of nanomaterials, the design of stimuli-responsive nanoparticles for biofuel catalysis, as well as application of algebraic topology to genomic meta-analyses and literature-based discovery.

His lab at UCF has several main drives: language modeling and meta-analysis for nanotheranostic predictions and drug discovery, explainable AI via extraction of analytical expressions from physicochemical and biological data, reinforcement learning guided wet-lab automation, and ab initio property prediction.  These different areas of research allow a multi-disciplinary approach in cablab that brings together fields of nanomaterials, computational modeling, spectral theory, photophysics, excitonics, neuroscience, ML/AI, natural language processing, topology, genomics, meta-analysis, quantum physics, symbolic regression, and nanotheranostics.

• Artificial intelligence
• Nanomaterial optoelectronics
• Bioinformatics
• Drug discovery
• Nanotheranostics
• Symbolic regression

• Chase A. Brown and Jonathan D. Wren, “Persistent homology centrality improves link prediction performance in PubMed co-occurrence networks”, bioRxiv (Cold Spring Harbor Laboratory), 2024
• Chase A. Brown and Jonathan D. Wren, “AutoGDC: A Python Package for DNA Methylation and Transcription Meta-Analyses”, bioRxiv (Cold Spring Harbor Laboratory), 2024
• Michał J Winnicki, Chase A. Brown, Hunter L Porter, Cory B Giles, Jonathan D Wren, “BioVDB: biological vector database for high-throughput gene expression meta-analysis” Frontiers in Artificial Intelligence, 2024
• Hunter L Porter, …, *Chase A. Brown*, …, Jonathan D Wren, “Methylation Array Signals are Predictive of Chronological Age Without Bisulfite Conversion” bioRxiv (Cold Spring Harbor Laboratory), 2023
• Xiavan R. Roopnarinesingh, …, Chase A. Brown, …, Jonathan Wren, “Multi-tissue DNA methylation microarray signature is predictive of gene function”, Epigenetics, 2022
• Hunter L. Porter, *Chase A. Brown*, Xiavan Roopnarinesingh, Cory B. Giles, Constantin Georgescu, Willard M. Freeman, Jonathan D. Wren, “Many chronological aging clocks can be found throughout the epigenome: Implications for quantifying biological aging” Aging cell, 2021
• Nicholas Briggs, …, Chase A. Brown, …, Steven Crossley, “Stable pickering emulsions using multi-walled carbon nanotubes of varying wettability” Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2018
• Rheal A Towner, …, Chase A. Brown, …, James Battiste, “OKN-007 increases temozolomide (TMZ) sensitivity and suppresses TMZ-resistant glioblastoma (GBM) tumor growth.” Translational oncology, 2019

Google Scholar
LinkedIn