Mathematical and Computational Sciences SIG

Tongli Zhang is currently an Associate Professor in the Department of Pharmacology & Systems Physiology, College of Medicine, University of Cincinnati. He got his BS in Forensic Medicine and MS in Biochemistry and Molecular Cell Biology from China Medical University. Realizing that most diseases are characterized by complex dynamical features that emerge from the interaction between components from multi-scales, including molecules, cells, organs, and patients, he went to learn theoretical tools to better understand and control such features and got his PhD in Genetics, Bioinformatics and Computational Biology from Virginia Tech. After post-doc training in the University of Oxford, he established his group in the University of Cincinnati. He is an expert of developing novel methodologies that combine the power of mechanistic modeling, machine learning (ML) and artificial intelligence (AI) to overcome the limitation of each individual tool and improve the diagnosis and treatment of complex diseases.

I am currently pursuing my 4th year Ph.D. in University of North Carolina at Chapel Hill. Apart from research, I am a student representative in the ISoP student steering committee. I took the secretary position in the student leadership team in term 2021-2022. I would give my best by combining all my skills and knowledge, and experience earned by being a representative and secretary in student committee to help MCS SIG in routine work and social events. My role in student committee part would be a good liaison as student support. Hopefully, I have been able to live up to the eligibility and convince you to take me in. With the guidance of the current MCS leadership team, I believe I could do a good contribution.

Dr. Limei Cheng is an accomplished scientist with 15+ years of experience in developing novel algorithms, modeling and simulations for healthcare applications such as quantitative systems pharmacology (QSP). She is currently the QSP-CV Lead of Clinical Pharmacology and Pharmacometrics at (CP&P) at Bristol Myers Squibb (BMS) in New Jersey. In her position, Dr. Cheng uses model-based QSP approaches to integrate clinical and non-clinical data in a quantitative and mechanistic way to generate actionable predictions. Prior to working at BMS, she spent 3+ years working at Philips Research North America in the Department of Clinical Decision Support Solutions. She began her career as a research associate at the Biomedical Simulation Resource (BMSR) in the Department of Biomedical Engineering at the University of Southern California (USC). Dr. Cheng has numerous recent presentations and publications demonstrating the utility of Systems Pharmacology in Pharmaceutical R&D. Dr. Cheng earned a B.E. in Biomedical Electronic Engineering from Xi’an Jiao Tong University, an M.S. in Electrical Engineering from the University of California, Los Angeles, and a Ph.D. in Biomedical Engineering from the University of Southern California. Her key areas of interest include QSP modeling, virtual population simulation, novel algorithm development, and personalized precision medicine.