PhD Student
Jacob is a PhD student in computer science at Boston University, where he is a part of the BU LISP group under the supervision of Dr Sang Chin. He is also a Draper Fellow working in the Machine Intelligence group.
His thesis research focuses on Artificial Neural Network approaches for handling sequences of data, such as time-series and natural language. He has developed methods for better prediction and generation of sequences utilizing tree based models and Generative Adversarial networks.
Jacob earned my B.S in Computer Science and Electrical Engineering from Duke University, and my M.S. in Computer Engineering from N.C. State where he focused on computer architecture. After his masters he worked as a Digital Designer for Allegro Microsystems designing sensors.
Recent Publications
Rangamani, A. Harer, J. Chin, S. Modeling Local Field Potentials with Recurrent Neural Networks. Workshop on Statistical Methods for Understanding Neural Systems. Neural Information Processing Systems (Nips), Dec 2015. (PDF)
Kim, L. Harer, J. Rangamani, A. Moran, J. Parks, P. Widge, A. Eskandar, E. Dougherty, D. Chin, S. Predicting Local Field Potentials with Recurrent Neural Networks. IEEE Engineering in Medicine and Biology Society (EMBC), Aug 2016. (PDF)
Chin, S. Cohen, J. Albin, A. Hayvanovych, M. Reilly, E. Brown, G. Harer, J. A Mathematical Analysis of Network Controllability Through Driver Nodes. IEEE Transactions on Comutational Social Systems. Volume: 4. Issue:2. June 2017. (Link)