People
We are a diverse and interdisciplinary group of scientists working at the frontier of biomedicine, artificial intelligence, and complex biological networks. Our expertise spans biology, chemistry, bioinformatics, computer science, data science, network science, electrical and computer engineering, high-performance computing, and translational discovery, allowing us to approach biomedical problems from molecular, computational, and systems-level perspectives.
Associate Professor
PhD in Chemistry, Jagiellonian University, 2006
Department of Biological Sciences · Center for Computation & Technology · Louisiana State University
Research interests span problems at the intersection of biomedicine, artificial intelligence, and complex networks, with a focus on using computational models to uncover biological mechanisms and guide therapeutic discovery.
Research Scientist
PhD in Electrical Engineering, Louisiana State University, 2017
Center for Computation & Technology · Louisiana State University
Coming soon.
Research Scientist
PhD in Electrical Engineering, Louisiana State University, 2025
Center for Computation & Technology · Louisiana State University
Research interests focus on AI-driven representation learning, generative modeling, and predictive modeling for biological and biochemical systems, particularly in cancer therapeutic response modeling and drug discovery.
Research Scientist
PhD in Biochemistry, Louisiana State University, 2026
Department of Biological Sciences · Louisiana State University
My research interests focus on developing machine learning and cheminformatics approaches for drug discovery, and microbial metabolism. I aim to build interpretable, data-driven models that connect molecular structure, biological function, and therapeutic response across microbiome and cancer-therapeutic applications.
Graduate Student
BS in Biosciences, Central South University, 2018
Department of Biological Sciences · Louisiana State University
My research interests focus on developing machine learning approaches for cancer biology, with a current focus on modeling enzymatic reactions and predicting metabolite changes to uncover new mechanisms and therapeutic opportunities.
Undergraduate Student
Department of Biological Sciences · Louisiana State University
Coming soon.
Undergraduate Student
Systems Biology Major · Virginia Polytechnic Institute and State University
My research interests focus on computational modeling of biological systems using machine learning and neural networks, especially mechanistic modeling of disease pathways, cellular decision-making, and predictive approaches for drug discovery.
Former Lab Members
Former postdoctoral researchers, research scientists, graduate students, and undergraduate students who contributed to the Brylinski Lab.