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Igor Ulitsky PhD CV，2024年4月
Board member: Israeli Society for Computation Biology (ISCB), 2016–2023 (Weizmann Institute representative) Editorial board: Cell Reports, Life Science Alliance Scientific reviewer for granting agencies: European Research Council (ERC), NSF, Israeli Science Foundation (ISF), US-Israel binational science foundation (BSF), Austrian Science Fund (FWF), French National Research Agency's (ANR), Israeli Cancer Association, The Wellcome Trust/DBT India Alliance, Cancer Research UK, BBSRC UK, Worldwide Cancer Research, Netherlands Organization for Scientific Research (NOW), Deutsche Forschungsgemeinschaft (DFG), National Science Center Poland, EMBO LTF, Swiss National Science Foundation (SNF) Conference Program Committee : ISMB 2012, ISMB/ECCB 2013, ISMB 2014，ISMB/ECCB 2015，ISMB 2016，ISMB/ECCB 2017，ISMB 2018
凯文·J·刘（Kevin J.
9。W。Wang，A。Hejasebazzi，J。Zheng和K. J. Liu，“建立一个更好的引导程序，RAWR将击败您家门的随机途径：重新审视的系统发育支持估计”，第24届分子生物学智能系统会议的过程（ISMB）智能系统（ISMB）和欧洲20号会议（ISMB）会议（ISMB）和计算中的第202个会议（ECB）会议论文发表于《生物信息学》，第1卷。37，问题补充1，第1页。 I111 – I119，2021，doi：10.1093/bioinformatics/btab263。接受率为18.6％。
cv
○ Reviewed papers for Nature Communications, Bioinformatics, Bioinformatics Advances, Briefings in Bioinformatics, Journal of Bioinformatics and Computational Biology, Computational and Structural Biotechnology Journal, PLOS One, PLOS Computational Biology, IEEE Transactions on Computers, IEEE Access, Frontiers in Bioengineering, Computers in Biology and Medicine, ISMB/ECCB，ISIT，DCC，ITW，ICML神经压缩研讨会和CVIP。
div>的课程
Contributed reviews to Bioinformatics, BMC Bioinformatics, Cell, Cell Systems, Frontiers in Genetics, GigaScience, Intelligent Systems for Molecular Biology (ISMB), Journal of Molecular Biology, Nature, Nature Biotechnology, Nature Communications, Nature Methods, NeurIPS Workshop on Machine Learning in Structural Biology (MLSB), Nucleic Acids Research, PLOS Computational Biology, PLOS One，PNA，PNAS Nexus，计算分子生物学研究（重新梳）和科学转化医学
Yusuf Roohani-斯坦福计算机科学
2024 Best Poster ICLR 2024 Machine Learning for Genomics Exploration Workshop 2023 Best Poster Top 3 out of 200 at Stanford BioX Interdisciplinary Initiatives ($500) 2023 Innovation Award Society for Lab Automation and Screening ($10K) 2023 Media Coverage : The New York Times, AI Is Learning What it Means to Be Alive 2022 Best Poster Intelligent Systems for Mol.生物学（ISMB）（机器学习轨道）2022最佳海报单细胞基因组学符合数据科学，慕尼黑（500美元）2019年GSK授予的全博士资金，包括学费 +全职薪酬（100万美元 +）2018 GSK杰出科学奖，用于蜂窝图像（17K）2010-13级优先证书（17k），学业证书，学术证书（17k），学术证书（x4），x44）技术。
Saugata Ghose - 简历 - 伊利诺伊大学香槟分校
D. Senol Cali、GS Kalsi、Z. Bingöl、C. Firtana、L. Subramanian、JS Kim、R. Ausavarungnirun、M. Alser、J. Gómez-Luna、A. Boroumand、A. Nori、A. Scibisz、S. Subramoney、C. Alkan、S. Ghose 和 O. Mutlu。“GenASM：一种用于基因组序列分析的高性能、低功耗近似字符串匹配加速框架。”在国际微架构研讨会 (MICRO) 上，2020 年 10 月。在分子生物学智能系统会议 (ISMB) 的高通量测序 (HiTSeq) 专场上发表，2022 年 7 月。
不可避免的RNA图案和结构服务器
[1]可根据旋转不变性的最小值RNA结构基序的可扩展且可解释的识别，撰写的，Zhou，Malik，Tang，Mathews和Huang。重新梳理202 5。预印本：https：//arxiv.org/abs/2402.17206。[2]通过竞争对手结构的产生和结构分解，Zhou，Tang，Mathews和Huang通过竞争结构的产生和结构分解识别。RECOMB 2024，LNCS 14758的RECOMB会议记录，Springer。https://arxiv.org/abs/2311.08339 [3] RNA设计通过structure-ware Multi-Frontier合奏优化，作者：Zhou，Dai，Li，Li，Ward，Mathews和Huang。ISMB 2023的会议记录；生物信息学，39（supp。 1）。 https://doi.org/10.1093/bioinformatics/btad252ISMB 2023的会议记录；生物信息学，39（supp。1）。https://doi.org/10.1093/bioinformatics/btad252
Martin SteineggerMartin Steinegger
09/2018 Max Planck Institute for Marine Microbiology, Germany, Metagenomics data analysis on steroids 07/2018 BiATA 2018, Russia, New algorithms and tools for large-scale sequence analysis of metagenomics data 07/2018 ISMB 2018, USA, MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets 04/2018 European Bioinformatics Institute, England, Fast and sensitive protein sequence search, clustering and assembly tools for the analysis of massive metagenomics datasets 04/2018 NGS 2018, Spain, Fast and sensitive protein sequence search, clustering and assembly tools for the analysis of massive metagenomics datasets 01/2018 Johns Hopkins University, USA, Search, Clustering and巨大范围的组装工具-RIMS数据集01/2018美国罗格斯大学，搜索，聚类和组装工具，用于大型元基因组学数据集05/2017日本东京大学，日本，MMSEQS2/linclust