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ICML 2021 Workshop on Computational Biology
Yubin Xie · Cassandra Burdziak · Amine Remita · Elham Azizi · Abdoulaye Baniré Diallo · Sandhya Prabhakaran · Debora Marks · Dana Pe'er · Wesley Tansey · Julia Vogt · Engelbert MEPHU NGUIFO · Jaan Altosaar · Anshul Kundaje · Sabeur Aridhi · Bishnu Sarker · Wajdi Dhifli · Alexander Anderson

Sat Jul 24 05:43 AM -- 02:20 PM (PDT) @
Event URL: https://icml-compbio.github.io »

The ICML Workshop on Computational Biology will highlight how machine learning approaches can be tailored to making discoveries with biological data. Practitioners at the intersection of computation, machine learning, and biology are in a unique position to frame problems in biomedicine, from drug discovery to vaccination risk scores, and the Workshop will showcase such recent research. Commodity lab techniques lead to the proliferation of large complex datasets, and require new methods to interpret these collections of high-dimensional biological data, such as genetic sequences, cellular features or protein structures, and imaging datasets. These data can be used to make new predictions towards clinical response, to uncover new biology, or to aid in drug discovery.
This workshop aims to bring together interdisciplinary machine learning researchers working at the intersection of machine learning and biology that includes areas such as computational genomics; neuroscience; metabolomics; proteomics; bioinformatics; cheminformatics; pathology; radiology; evolutionary biology; population genomics; phenomics; ecology, cancer biology; causality; representation learning and disentanglement to present recent advances and open questions to the machine learning community.
The workshop is a sequel to the WCB workshops we organized in the last five years at ICML, 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 for Poster presentations. We have a steadfast and growing base of reviewers making up the Program Committee. For two of the previous editions, a special issue of Journal of Computational Biology has been released with extended versions of a selected set of accepted papers.

Author Information

Yubin Xie (Memorial Sloan Kettering Cancer Centre)
Cassandra Burdziak (Memorial Sloan Kettering Cancer Center)
Amine Remita (Bioinfo-UQAM | Université du Québec à Montréal)
Elham Azizi (Columbia University)
Abdoulaye Baniré Diallo (Université du Québec à Montréal)
Sandhya Prabhakaran (Moffitt Cancer Centre)
Debora Marks (Harvard Medical School)
Dana Pe'er (Sloan Kettering Institute)
Wesley Tansey (Memorial Sloan)
Julia Vogt (ETH Zuerich)
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).

Jaan Altosaar (Columbia University Irving Medical Center)
Anshul Kundaje (Stanford University)
Sabeur Aridhi (LORIA)
Bishnu Sarker (Inria)
Wajdi Dhifli (University of Lille)
Alexander Anderson (Moffitt Cancer Center)

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