Run by Baihan Lin, DataComma is a data visualization platform aiming to cover stories and
developments of mining and coveying insights from the data collected from
daily life. We are interested in critical or causal questions in art, society,
science and engineering under an open and boundless principle. This is the
In data visualization, Baihan is affiliated with the data visualization program at the Parsons School of Design. With DataComma and Parsons School of Design, Baihan's data visualization projects have been in collaborations and consultations with the Smithsonian National Museum of Natural History, the Cooper Hewitt Design Museum, the American Museum of Natural History. Other than these outreach programs, he maintains close technical collaborations with IBM, Google, Microsoft, and Amazon on important industrial and engineering problems by developing neuroscience-related or -inspired algorithms for computer vision, speech recognition, natural language processing, system security, computational psychiatry, personalized medicine and computational genomics domains.
Other than this visual storytelling realm, Baihan is also a neuroscientist and machine learning researcher at Zuckerman Mind Brain Behavior Institute in Columbia University. His current research interest is modeling multiscale systems and complex networks with machine learning, geometric topology and dynamical systems. His research helps understand the neural systems and cognitive processes of biological brains in their healthy and abnormal states, and construct a mechanistic theory of deep neural networks.
According to the Google Scholar, he has authored 25+ publications with an H-index of 10+ on and served as program committees or reviewers for IJCAI, AAMAS, INTERSPEECH, AISTATS, NeurIPS, CVPR, ICCV, KDD, ICLR, ICML, AAAI, and MICCAI, etc., as well as journals including Nature Scientific Reports, PLOS ONE, JACS, J Infect, Entropy, Adv Complex Syst, IEEE Trans Knowl Data Eng, Comput Commun, Front Artif Intell, Front Comp Neuro and Front Robot AI etc..