Baihan Lin
Affiliations: | 2013-2020 | University of Washington, Seattle, Seattle, WA | |
| 2017- | Columbia University, New York, NY |
Area:
Reinforcement learning, Natural language processing, Human-computer interaction, Computational neuroscience, BioinformaticsWebsite:
https://www.neuroinference.com/Google:
"Baihan Lin"Bio:
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Parents
Sign in to add mentor| Jaime Olavarria | research assistant | 2014-2016 | University of Washington - Seattle/ NIH |
| David Baker | research assistant | 2015-2017 | University of Washington (Computational Biology Tree) |
| Shwetak N. Patel | research assistant | 2017-2018 | University of Washington - Seattle/ NIH (Computer Science Tree) |
| Nikolaus Kriegeskorte | grad student | 2017- | Columbia |
| Guillermo Cecchi | research scientist | 2017- | IBM |
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Publications
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| Lin B, Bouneffouf D, Cecchi G. (2022) Predicting human decision making in psychological tasks with recurrent neural networks. Plos One. 17: e0267907 |
| Lin B. (2021) Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers. Entropy (Basel, Switzerland). 24 |
| Andelin AK, Doyle Z, Laing RJ, et al. (2019) Influence of Ocular Dominance Columns and Patchy Callosal Connections on Binocularity in Lateral Striate Cortex: Long Evans vs. Albino Rats. The Journal of Comparative Neurology |
| Chen Z, Johnson MC, Chen J, et al. (2019) Self-assembling 2D arrays with de novo protein building blocks. Journal of the American Chemical Society |
| Lin B. (2019) Cliques of single-cell RNA-seq profiles reveal insights into cell ecology during development and differentiation F1000research. 8 |
| Teng Y, Liu S, Guo X, et al. (2017) An Integrative Analysis Reveals a Central Role of P53 Activation via MDM2 in Zika Virus Infection Induced Cell Death. Frontiers in Cellular and Infection Microbiology. 7: 327 |
| Teng Y, Bi D, Xie G, et al. (2017) Model-Informed Risk Assessment for Zika Virus Outbreaks in the Asia-Pacific Regions. The Journal of Infection |
| Teng Y, Bi D, Xie G, et al. (2017) Dynamic Forecasting of Zika Epidemics Using Google Trends. Plos One. 12: e0165085 |
| Teng Y, Wang Y, Zhang X, et al. (2015) Systematic Genome-wide Screening and Prediction of microRNAs in EBOV During the 2014 Ebolavirus Outbreak. Scientific Reports. 5: 9912 |