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ICML 2019 Workshop on Computational Biology
Donna Pe'er · Sandhya Prabhakaran · Elham Azizi · Abdoulaye Baniré Diallo · Anshul Kundaje · Barbara Engelhardt · Wajdi Dhifli · Engelbert MEPHU NGUIFO · Wesley Tansey · Julia Vogt · Jennifer Listgarten · Cassandra Burdziak · Workshop CompBio

Fri Jun 14 08:30 AM -- 06:00 PM (PDT) @ 101
Event URL: https://sites.google.com/view/icml-compbio-2019/home »

The workshop will showcase recent research in the field of Computational Biology. There has been significant development in genomic sequencing techniques and imaging technologies. These approaches not only generate huge amounts of data but provide unprecedented resolution of single cells and even subcellular structures. The availability of high dimensional data, at multiple spatial and temporal resolutions has made machine learning and deep learning methods increasingly critical for computational analysis and interpretation of the data. Conversely, biological data has also exposed unique challenges and problems that call for the development of new machine learning methods. This workshop aims to bring together researchers working at the intersection of Machine Learning and Biology to present recent advances and open questions in Computational Biology to the ML community.

The workshop is a sequel to the WCB workshops we organized in the last three years Joint ICML and IJCAI 2018, Stockholm, ICML 2017, Sydney and ICML 2016, New York as well as Workshop on Bioinformatics and AI at IJCAI 2015 Buenos Aires, IJCAI 2016 New York, IJCAI 2017 Melbourne which had excellent line-ups of talks and were well-received by the community. Every year, we received 60+ submissions. After multiple rounds of rigorous reviewing around 50 submissions were selected from which the best set of papers were chosen for Contributed talks and Spotlights and the rest were invited as Posters. We have a steadfast and growing base of reviewers making up the Program Committee. For the past edition, a special issue of Journal of Computational Biology will be released in the following weeks with extended versions of 14 accepted papers.

We have two confirmed invited speakers and we will invite at least one more leading researcher in the field. Similar to previous years, we plan to request partial funding from Microsoft Research, Google, Python, Swiss Institute of Bioinformatics that we intend to use for student travel awards. In past years, we have also been able to provide awards for best poster/paper and partially contribute to travel expenses for at least 8 students per year.

The Workshop proceedings will be available through CEUR proceedings. We would also have an extended version to be included in a special issue of the Journal of Computational Biology (JCB) for which we already have an agreement with JCB.

Author Information

Donna Pe'er (Sloan Kettering Institute, MSKCC)
Sandhya Prabhakaran (Memorial Sloan Kettering Cancer Centre)
Elham Azizi (Memorial Sloan Kettering Cancer Center)
Abdoulaye Baniré Diallo (Université du Québec à Montréal)
Anshul Kundaje (Stanford University)
Barbara Engelhardt (Princeton University)
Barbara Engelhardt

Barbara E. Engelhardt is a professor at Stanford University. She joined from Princeton, where she was a professor from 2014-2022, and previously Duke University, where she was an assistant professor from 2011-2014. She graduated from Stanford University and received her Ph.D. from the University of California, Berkeley, advised by Professor Michael Jordan. She did postdoctoral research at the University of Chicago, working with Professor Matthew Stephens, and three years at Duke University as an assistant professor. Interspersed among her academic experiences, she spent two years working at the Jet Propulsion Laboratory, a summer at Google Research, and a year at 23andMe, a DNA ancestry service. Professor Engelhardt received an NSF Graduate Research Fellowship, the Google Anita Borg Memorial Scholarship, and the Walter M. Fitch Prize from the Society for Molecular Biology and Evolution. As a faculty member, she received the NIH NHGRI K99/R00 Pathway to Independence Award, a Sloan Faculty Fellowship, and an NSF CAREER Award. Professor Engelhardt’s research interests involve developing statistical models and methods for the analysis of high-dimensional biomedical data, with a goal of understanding the underlying biological mechanisms of complex phenotypes and human disease.

Wajdi Dhifli (University of Lille)
Engelbert MEPHU NGUIFO (University Clermont Auvergne - CNRS - LIMOS)

Engelbert Mephu Nguifo is a professor of computer science at University Clermont Auvergne (UCA, Clermont-Ferrand) and was former vice-president of the mathematics and computer science department. At UCA, he is leading research on complex data mining in the joined University-CNRS laboratory LIMOS (Laboratory of Computer Science, Modelisation and Optimization). His research interests include formal concept analysis, data mining, machine learning, pattern recognition, bioinformatics, big data, information visualization, and knowledge representation. Mephu Nguifo has a PhD in computer science from the University of Montpellier. He is a member of the ACM and ACM-SIGKDD and French AI, bioinformatics, data mining, and classification associations (AFIA, SFBI, EGC).

Wesley Tansey (Columbia University)
Julia Vogt (University of Basel)
Jennifer Listgarten (University of California, Berkeley)
Cassandra Burdziak (Memorial Sloan Kettering Cancer Center)
Workshop CompBio (MSKCC)

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