CoSE Computing for Life Sciences
News and Announcements
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Prof. D. Petkovic leading Workshop on Explainable ML at prestigious PSB 2018 conference
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Profs. Petkovic and Kulkarni helped organize FDA-Stanford-UCSF-SF State Workshop on Use of Natural Language Processing to Extract Information from Clinical Text
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A collaborative effort between CCLS and SEPAL has released new research: Classroom sound can be used to classify teaching practices in college science courses. Read the SF State press release here: https://www.eurekalert.org/pub_releases/2017-03/sfsu-ssr030617.php
CCLS — Where Computer Science and Mathematics Meet Biology and Biochemistry to Solve Problems in Life Sciences and Educate Students
Computing in Life Sciences (CCLS) is part of a University-wide strategic thrust towards interdisciplinary research and education. It addresses the emerging trend of integration of life sciences and computational and mathematical sciences. It involves faculty, researchers, and students from the SF State departments of Biology, Biochemistry, Computer Science, Mathematics, and Physics. The broad research program emphasizes investigations in topics varying from Bioinformatics and Computational Drug Discovery to complex data visualization and development of new paradigms for data modeling, user interfaces and web-engineering in contexts involving life sciences.
CCLS Services
- Space for faculty and their graduate students
- Advanced IT and SW support and staff for faculty grant proposals
- Mini-Grants for faculty and their students
- Access to 40 core Dell cluster high performance computer,
- Access to Amazon Cloud Computing
- Space for small project meetings, theses defenses and small events (needs to be scheduled in advance)
Participating Departments
- SF State Department of Computer Science (Website)
- SF State Department of Biology (Website)
- SF State Department of Chemistry and Biochemistry (Website)
- SF State Department of Mathematics (Website)
- SF State Department of Physics and Astronomy (Website)
- SF State School of Nursing (Website)
The CS Department and Computing for Life Sciences (CCLS) gratefully acknowledges support from IBM Almaden Research, Amazon Web Services, Microsoft Corporation, Emulex and Claritics.
