The application of Machine Learning in Computational Biology has advanced significantly in recent years; there have been credible developments in many high-throughput technologies that enable data generation from many interesting biological systems. The gamut of novel algorithms in Machine Learning makes it very attractive to apply these methods to address challenging new biological questions. It therefore only seems fitting to bring together researchers engaged in applying ML in Computational Biology to discuss recent advances in this interdisciplinary field and ongoing developments.
We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We also invite papers that deal with novel algorithms and computational approaches that are especially robust and scalable to high-dimensional data and and provide interpretable relationships in biological systems. We encourage submissions dealing with applications of machine learning methods or bioinformatics approaches to biological or biomedical data. Papers will be presented in poster format and some will be chosen for oral presentation as well. Through invited talks and presentations by the participants, this workshop will bring together current advances in Computational Biology and set the stage for continuing interdisciplinary research discussions.
The workshop is a sequel to the WCB @ ICML 2016 (NYC) which was very well-received by the community.
Dana Pe'er (MSKCC)
Christina Leslie (MSKCC)
Barbara Engelhardt (Princeton University)
Elham Azizi (MSKCC)
Sandhya Prabhakaran (MSKCC)
Meghana Kshirsagar (MSKCC)
Ambrose Carr (MSKCC)
Elham Azizi (MSKCC)
Sandhya Prabhakaran (MSKCC)
Meghana Kshirsagar (MSKCC)
Ambrose Carr (MSKCC)
Manu Setty (MSKCC)
Antonio Gomes (MSKCC)
Christopher Garay (MITRE)
Teresa Wang (Boston University)
Ayshwarya Subramanian (Harvard T.H. Chan School of Public Health)
Vinay Kartha (Boston University)
Xuya Wang (NYU)
Siddhartha Jain (Carnegie Mellon University)
Melanie Rey (BenevolentAI)
Narges Razavian (NYU)
Niina Haiminen (IBM T.J. Watson Research Center)
Shankar Vembu (University of Toronto)
Sabrina Hsueh (IBM T.J. Watson Research Center)
Peter Schueffler (MSKCC)
Melanie F. Pradier (University Carlos III of Madrid)
Teresa Wang (Boston University)
Neo Hu (Cambridge University)
Jorge Reyes Luis Ortiz (Sense Labs)
Delasa Aghamirzaie (Virginia Tech)
Anna Lyubetskaya
Andrew Schaumberg (MSKCC)
Sheng Liu (Johns Hopkins School of Medicine)
Lee Zamparo (MSKCC)
Manu Setty (Columbia University)
Yi Zhong (MSKCC)
Hatice Osmanbeyoglu (MSKCC)