IBM Research Haifa Lab, Israel - IBM Research Zurich Lab, Switzerland
IBM Israel – Science and technology LTD (IBM)
Opened as the IBM Scientific Center in 1972, the IBM Israel (IBM) counts close to 400 individuals; 25 percent of the technical staff have doctorate degrees in computer science, electrical engineering, mathematics, or related fields.The lab's activities involve advanced research and development under the guidance of the IBM Corporation's Research Division, as one of five research laboratories located outside of the United States, and has close working relationships with IBM Israel and its sister research laboratory in Zurich. The main mission of HRL is to perform research that advances IBM's products and product development capabilities. R&D projects are being executed today by HRL for IBM labs in the USA, Canada, and Europe. HRL has special interest in solutions for the healthcare domain and in November 2011 the lab hosted the IBM centennial workshop about the future of health care, see https://www.research.ibm.com/haifa/colloquium/index.shtml.
There are two relevant groups in IBM: IT for Healthcare and life sciences group and the machine learning and data mining group. The IBM machine learning and data mining group has a broad experience in the field of applying analytics to clinical genomic data. Various machine learning algorithms have been developed within the group and were tested on data coming from diabetic patients, metabolic syndrome patients, HIV patients and more. The group organized and hosted two international clinical genomic analysis workshop, in 2010 and 2011 and is active in various academic activities from publishing papers to serving as reviewers and program committee members in related journals and conferences. In addition the . The group has participated in a number of European Union funded projects including: HYPERGENES, which aims at building a method to dissect complex genetic traits using essential hypertension as a disease model, and EuResist, which has developed an integrated European system for computer based clinical management of antiretroviral drug resistance. In both projects the IBM It for healthcare and life sciences group contributed from its broad experience in biomedical information integration.
Profile of staff members
--Dr. Michal Rosen-Zvi is a research staff member at IBM Research Lab in Haifa, Israel. She holds a PhD in physics and completed her postdoctoral studies at UC Berkeley, UC Irvine and the Hebrew University. During this time, Michal worked with colleagues on developing novel machine learning methods, some of which have been used for mining large scale data. In 2005 she joined IBM Research Haifa, where she is now the manager of the machine learning and data mining group. Michal has published more than 30 papers in top leading journals and conferences, including ISMB conference, HIV medicine journal and more. She serves as a Program Committee member and reviewer at leading machine learning and bioinformatics conferences, including ICML, AISTAT, UAI, NIPS, KDD and ISMB/ECCB, and as a reviewer for journals like Journal of Machine Learning Research, Machine Learning Journal, Bayesian Analysis Journal, IEEE Transactions on Computers, Journal of Artificial Intelligence Research (JAIR), bioinformatics, and more. Dr. Rosen-Zvi also give talks in many different forums including summer school about Optimization, Machine Learning and Bioinformatics, and a course at Tel-Aviv University about applying Bayesian network methods to the clinical domain.
--Dr. Noam Slonim is a Research Staff Member at the Machine Learning and Data Mining group at IBM Haifa Research Labs. He has joined IBM at February 2007. The aim of his research is the development of effective analytics techniques that often stem from Information Theoretic concepts and algorithms. His primary motivation in developing these tools is to gain novel insights into large scale clinical and genomic datasets. In 2002 Noam completed his PhD (summa cum laude) at the Interdisciplinary Center for Neural Computation at the Hebrew University. From November 2002 until January 2007 Noam was a Research Associate Scholar at the Department of Physics at Princeton University, working at the Lewis-Sigler Institute for Integrative Genomics. Noam has published more than 30 papers in top leading journals and conferences, including PNAS, Molecular Cell, Neural Computation, and Molecular Systems Biology. He serves as a Program Committee member and reviewer at leading machine learning conferences, including IJCAI, ICML, AISTAT, EMNLP, ECIR, UAI, NIPS, and SIGIR, and as a reviewer for journals like PLoS Computational Biology, Journal of Biomedical Informatics, Journal of Machine Learning Research, Machine Learning Journal, and more. Noam received the best presentation award at SIGIR 2000, and he is the first author of two papers which received the Best Paper Award at UAI 2001 and at ECIR 2001. Since joining HRL, Noam was involved in various projects where he led the development of analytics techniques for analyzing clinical genomic datasets.
--Mr Boaz Carmeli is Research Staff Member and the manager of the Clinical Genomics IT group at IBM Research - Haifa. He holds a B.Sc in computer science from the Technion in Israel. Mr Carmeli is involved in the definition, design and implementation of IT solutions for Healthcare and Life Sciences, such as Clinical Genomics Analytics (Cli-G), Health Information Exchange (HIE), the Public Health Information Affinity Domain (PHIAD), and the Hypergenes and EuResist EU projects. During his scientific career at IBM Research, Mr. Carmeli published more than 10 papers and made contributions to several other computer science fields such as wireless networks for hand held devices, high throughput data networks and multicast protocols. Mr. Carmeli is also actively involved in various standard organizations and was a member of the IEEE 802.15 personal wireless network group.
Five recent publications relevant to the project
1. Hani Neuvirth, Michal Ozery-Flato, Jianying Hu, Jonathan Laserson, Martin S. Kohn, Shahram Ebadollahi, Michal Rosen-Zvi: Toward personalized care management of patients at risk: the diabetes case study. KDD 2011: 395-403
2. J. P. Bigus, M. Campbell, H. Chang, C. ChenRitzo, J. M. Jasinski, R. K. Sorrentino, S. Ebadollahi, D. Gotz, T. W. A. Grandison, P. S. Hsueh, J. Hu, M. S. Kohn, C. Neti, S. Ramakrishnan, J. Sun, R. Yaesoubi, X. Zhu, B. Carmeli, A. Farkash, H. Nelken, H. Neuvirth, Y. Peres, M. RosenZvi, A. Shabo, M. Cefkin, W. F. Cody, A. Evfimievski, S. Glissmann, D. Gruhl, P. J. Haas, J. H. Kaufman, C. A. Kieliszewski, S. E. Knoop, P. P. Maglio, R. L. Mak, S. Renly, P. Selinger, T. Syeda Mahmood, W. Tan, M. J. H. Hsiao, Y. Pan, Y. Y. Y. Tao. (2011) "Information Technology For Healthcare Transformation". IBM Journal Special Issue Frontiers of IT
3. M. Zazzi, R. Kaiser, A. Sonnerborg, D. Struck, A. Altmann, M. Prosperi, M. Rosen-Zvi, A. Petroczi, Y. Peres, E. Schulter, C. Boucher, F. Brun-Vezinet, R. Harigan, L. Morris, M. Obermeier, C. F. Perno, R. Shafer, A. Vandamme, K. van Laethem, A. Wensing, T. Lengauer, F. Incardona (2010). "Prediction of Response to Antiretroviral Therapy by Human Experts and by the EuResist Data-Driven Expert System (the EVE Study)". HIV Medicine 1468-1293, 2010.
4. Michal Rosen-Zvi, Ehud Aharoni, Joachim Selbig: HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods. Similarity-Based Clustering 2009: 185-201
5. "Selecting anti-HIV therapies based on a variety of genomic and clinical factors" Michal Rosen-Zvi, Andre Altmann, Mattia Prosperi, Ehud Aharoni, Hani Neuvirth, Anders Sönnerborg, Eugen Schülter, Daniel Struck, Yardena Peres, Francesca Incardona, Rolf Kaiser, Maurizio Zazzi, Thomas Lengauer, an oral presentation at the ISMB conference/ bioinformatics journal Toronto 2008