阿萨夫·戈特利布（Assaf Gottlieb）, Ph.D., joined the UTHealth School of Biomedical Informatics (SBMI) in January 2017 as an assistant professor and one of the core faculty members of the Center for Precision Health.

Gottlieb arrived to SBMI from IBM Research where he served as a research associate at the Machine Learning for Healthcare and Life Science group in Haifa labs. Prior to his position with IBM, Gottlieb was a postdoctoral fellow at both Stanford University and Tel-Aviv University. He has degrees in Physics and Computer Science and has also worked in software and algorithmic development.

Gottlieb is interested in understanding and modeling drugs mode of action and their relation to drug efficacy, adverse reaction and pharmacogenomics, focusing of chronic conditions. His lab employs an integrative computational approach, combining multiple types of data and applying methodologies from systems medicine, machine learning and causal inference domains to identify population and patient-level factors associated with drug efficacy and adverse reactions and to suggest candidates for drug repurposing. Additionally, his research leverages electronic health records for hypothesis generation and validation of therapeutic outcomes.

Education

• 计算生物学博士,2010年,特拉维夫环宇ity
• MSc, Physics, 2001, Tel Aviv University
• BSc, Physics and Computer Science, 1998, Tel Aviv University

Areas of Expertise

• Pharmacogenomics
• Machine Learning
• 系统医学
• 观察数据的因果推断

Publications

1. Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data
   Michal Ozery-Flato, Chen Yanover,阿萨夫·戈特利布（Assaf Gottlieb）, Omer Weissbrod, Naama Parush-Shear-Yashuv, Yaara Goldschmidt
   NIPS 2016 Workshop on Machine Learning for Health
2. Ranking adverse drug reactions with crowdsourcing
   阿萨夫·戈特利布（Assaf Gottlieb）, Robert Hoehndorf, Michel Dumontier and Russ B. Altman
   J Med Internet Res 2015; 17（3）：E80。
3. 使用单细胞基因表达数据对组织进行三维计算重建
   Robert Durruthy-Durruthy*,阿萨夫·戈特利布（Assaf Gottlieb）*和Stefan Heller
   Nature Protocols, 2015, 10 459–474.
   * equal contribution
4. Integrating systems biology sources illuminates drug action
   阿萨夫·戈特利布（Assaf Gottlieb）and Russ B. Altman
   临床药理学和治疗学，2014年（预先在线）
5. 在单细胞分辨率下的小鼠耳尾和早期神经细胞谱系的重建
   Robert Durruthy-Durruthy，阿萨夫·戈特利布（Assaf Gottlieb）, Byron H. Hartman, Jörg Waldhaus, Roman Laske, Russ Altman and Stefan Heller
   Cell, 2014, 157.4: 964-978.
6. A community computational challenge to predict the activity of pairs of compounds
   Mukesh Bansal, Jichen Yang, Charles Karan, Michael Patrick Menden, James C. Costello, Hao Tang, Guanghua Xiao, Yajuan Li, Jeffrey Allen, Rui Zhong, Beibei Chen, Minsoo Kim, Tao Wang, Laura Heiser, Ronald Realubit, Michela Mattioli, Mariano Alvarez, Yao Shen,NCI-DREAM联盟*，Daniel Gallahan，Dinah Singer，Julio Saez-Rodriguez，Yang Xie，Andrea Califano，Gustavo Stolovitzky
   * As part of the NCI-DREAM consortium
   Nature Biotechnology, 2014, 32, 1213–1222.
7. 社区评估和改善药物敏感性预测算法的努力
   James C Costello，Laura M Heiser，Elisabeth Georgii，MehmetGönen，Michael P Menden，Nicholas J Wang，Mukesh Bansal，Muhammad Ammad-ud-Din，Petteri Hintsanen，Suleiman A. Khan，John-Patrick Mpindi，John-Patrick Mpindi，John-Patrick Mpindi，Mpatrick Mpindi，NCI梦想社区*, Olli Kallioniemi, Antti Honkela, Tero Aittokallio, Krister Wennerberg, James J Collins, Dan Gallahan, Dinah Singer, Julio Saez-Rodriguez, Samuel Kaski, Joe W Gray, Gustavo Stolovitzky
   * As part of the NCI-DREAM Community
   Nature Biotechnology，2014，32，1202–1212。
8. 一种从患者相似性中推断出医学诊断的方法
   阿萨夫·戈特利布（Assaf Gottlieb）, Gideon Y. Stein, Eytan Ruppin, Russ B. Altman and Roded Sharan
   BMC Medicine, 2013 11:194
9. 环境压力破坏端粒长度稳态
   Gal Romano, Yaniv Harari, Tal Yehuda, Ariel Podhorzer, Linda Rubinstein, Ron Shamir,阿萨夫·戈特利布（Assaf Gottlieb），Yael Silberberg，Dana Pe'er，Eytan Ruppin，Roded Sharan，Martin Kupiec
   PLOS遗传学，2013 9（9）：E1003721。
10. INDI: A computational framework for inferring drug interactions and their associated recommendations
    阿萨夫·戈特利布（Assaf Gottlieb）, Gideon Y. Stein, Yoram Oron, Eytan Ruppin and Roded Sharan
    Molecular Systems Biology, 2012 8:592
11. PREDICT: A method for inferring novel drug indications with application to personalized medicine
    阿萨夫·戈特利布（Assaf Gottlieb）, Gideon Y. Stein, Eytan Ruppin and Roded Sharan
    Molecular Systems Biology, 20117：496
12. PRINCIPLE: A tool for associating genes with diseases via network propagation
    阿萨夫·戈特利布（Assaf Gottlieb）, Oded Magger, Igor Berman, Eytan Ruppin and Roded Sharan
    Bioinformatics, 201127(23):3325-3326
13. 大规模阐明人类药物反应途径，
    Yael Silberberg,阿萨夫·戈特利布（Assaf Gottlieb），Eytan Ruppin和Roded Sharan
    Journal of Computational Biology (special issue of RECOMB Systems Biology’11), 2012, 19(2): 163-174.
14. Combining drug and gene similarity measures for drug-target elucidation
    Liat Perlman*,阿萨夫·戈特利布（Assaf Gottlieb）*, Nir Atias, Eytan Ruppin and Roded Sharan
    Journal of Computational Biology, 2011, 18(2): 133-145 (Accepted for RECOMB Satellite Meeting on Systems Biology, 2010)
    * equal contribution
15. 氨基酰基-TRNA合成酶的常见肽研究
    阿萨夫·戈特利布（Assaf Gottlieb）, Milana Frenkel-Morgenstern, Mark Safro and David Horn
    PLoS One 2011, 6(5): e20361
16. Uffizi：一个通用平台，用于排名信息丰富的功能
    阿萨夫·戈特利布（Assaf Gottlieb），罗伊·瓦尔沙夫斯基（Roy Varshavsky），米哈尔（Michal）和大卫·霍恩（David Horn）
    BMC Bioinformatics 2010, 11:300
17. 使用排名的系统发育特征分层的基因组组分层
    Shiri Freilich，Leon Goldovsky，阿萨夫·戈特利布（Assaf Gottlieb）, Eric Blanc, Sophia Tsoka and Christos A Ouzounis
    BMC Bioinformatics 2009, 10:355
18. Common peptides shed light on evolution of Olfactory Receptors
    阿萨夫·戈特利布（Assaf Gottlieb）, Tsviya Olender, Doron Lancet and David Horn
    BMC Evolutionary Biology2009, 9:91
19. Data mining of protein families using common peptides
    阿萨夫·戈特利布（Assaf Gottlieb）, Uri Weingart and David Horn
    在AFP / Biosapiens 2008，ISMB 2008特别兴趣小组会议上接受的谈话
    在自然先前可用
20. 在扰动下无监督的特征选择：应对生物数据的挑战
    罗伊·瓦尔沙夫斯基（Roy Varshavsky），阿萨夫·戈特利布（Assaf Gottlieb）,大卫·霍恩（David Horn）和米歇尔（Michal）
    Bioinformatics2007;23 (24): 3343-3349.
21. Novel Unsupervised Feature Filtering of Biological Data
    罗伊·瓦尔沙夫斯基（Roy Varshavsky），阿萨夫·戈特利布（Assaf Gottlieb），Michal Linial和David Horn
    Bioinformatics（2006）22（14）：E507-E513（在ISMB 2006上接受口头呈现）。
22. 基于量子力学的模式识别问题中的数据聚类算法
    David Horn and阿萨夫·戈特利布（Assaf Gottlieb）
    Physical Review Letters. 88 (2002) 18702
23. The Method of Quantum Clustering.
    David Horn and阿萨夫·戈特利布（Assaf Gottlieb）, inNIP的论文集*01