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
way.
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..