How does the brain make economic decisions? How does brain-inspired artificial neural network helps develop novel treatments? Come join us to understand how neuroeconomists combine decision theory and computational modeling to study decision-making from single neuron to biological and artificial neural network.
Interested in improving genomic analyses using the first complete human genome and population data? Join us and learn about advancements in efficient and accurate computational genomics methods.
Economic Decision-making in the Brain: from Behaviour, Computation to Therapeutics
Fei-Yang Huang, MD, PhD, Postdoctoral Research Associate, University of Cambridge
Reducing reference bias in genomic sequence data processing
Nae-Chyun Chen, MS, PhD Student, Department of Computer Science, Johns Hopkins University
Fei-Yang Huang, MD, PhD
Fei-Yang Huang’s research focuses on neural and computational mechanisms of reward and decision-making in non-human primates. He received his MD and minor degree in Economics from National Taiwan University and earned his PhD in Neurophysiology from the University of Cambridge. He is currently a postdoctoral research associate at the University of Cambridge, where he applies primate neurophysiology, targeted brain stimulation, and decision theories across economics, psychology and ecology, to investigate how decision computation arises from single neurons and brain circuits.
Nae-Chyun Chen studies computational genomics at the Department of Computer Science, Johns Hopkins University (JHU). He designs DNA sequencing processing methods that reduce reference bias. His primary work includes sequence alignment, lift-over, and variant calling. His other research interests include genome assembly, chromatin accessibility, and immunogenomics.
Jason (Yen-Chun) Lu received Bachelor’s degrees in Chemical Engineering and Civil Engineering from National Taiwan University and M.S./ Ph.D. in Biological Engineering from Cornell University. Currently he works as research fellow at Boston Children’s Hospital/MIT, and his research focuses on drug delivery, cell therapy in diabetes treatment and mRNA therapeutics.