Machine learning meets single-cell biology: Cellular dynamics and gene programs

Single-cell genomics is providing unprecedented views into the workings of cells and their interrelationships. Beginning with the conceptualization of cell states as residing along a phenotypic manifold and its representation as a neighbor graph, we will survey approaches to infer trajectories and cell-state transitions from this data. To understand dynamics along the manifold from snapshot data, we can model differentiation as a Markov process, thereby providing a continuous view of cell fate choices and enabling a quantification of cellular plasticity. We will demonstrate the versatility of this approach, provide cooking tips and pitfalls to avoid, and discuss computational challenges. We will also highlight the importance of understanding gene expression and regulation based on its structure in the data. To identify biologically meaningful gene programs, we leverage Bayesian matrix factorization, combining prior knowledge with data to summarize biological activity as a compact set of factors representing cellular building blocks. This presentation will cover several single-cell algorithms, including Wanderlust, Palantir, CellRank, Decipher and Spectra.

Biography

Dana Pe’er is an HHMI Investigator, Chair of the Computational and Systems Biology Program and Director of the Gerry Metastasis and Tumor Ecosystems Center at the Sloan Kettering Institute. The Pe’er lab has pioneered foundational machine learning approaches to derive cell states, trajectories and interactions from single-cell genomics and imaging data. They apply their tools to address questions in development, immunity and cancer, with a focus on plasticity, tumor heterogeneity, and tumor-immune interactions. Dr. Pe'er earned her PhD at the Hebrew University. She received the Burroughs Wellcome Fund Career Award, NSF CAREER award, NIH Director's New Innovator and Pioneer awards, Packard Fellowship in Science and Engineering, Ernst W. Bertner Memorial Award, ISCB Overton Prize Award and is a Fellow of the AACR Academy. She serves on the editorial board of Cell, leads an NCI Human Tumor Atlas Network center, and heads computational analysis for the Human Cell Atlas.

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Using Synthetic Controls to Enhance the Statistical Rigor in Genomics Data Science

The rapid development of genomics technologies has propelled fast advances in genomics data science. Although numerous computational algorithms have been developed to analyze genomics data, the statistical rigor of data analyses has been largely overlooked. Motivated by the use of negative and positive controls in experiments, I propose to enhance the reliability of data analysis by using synthetic controls generated from real data under specified hypotheses. I will demonstrate this strategy in identifying differentially expressed genes from bulk and single-cell RNA-seq data. Specifically, to support this strategy in single-cell and spatial omics data analysis, I will introduce our simulator scDesign3 for synthetic control generation. Moreover, to ensure computational efficiency, I will introduce a p-value-free strategy for high-throughput feature screening without requiring multiple rounds of synthetic control generation. Overall, using synthetic controls is an effective strategy to increase the statistical rigor of genomics data analysis and improve the reliability of analysis results.

Biography

Jingyi Jessica Li is a Professor in the Department of Statistics and Data Science at the University of California, Los Angeles, where she holds secondary appointments in the Departments of Biostatistics, Computational Medicine, and Human Genetics. She leads a research group called the Junction of Statistics and Biology, which focuses on developing interpretable statistical methods for biomedical data analysis.

Jessica received her Ph.D. from the University of California, Berkeley, and her B.S. from Tsinghua University. Her research interests include quantifying the central dogma, extracting hidden information from bulk, single-cell, and spatial multi-omics data, and ensuring statistical rigor in biomedical data analysis. She emphasizes using in silico negative controls to avoid false discoveries.

Jessica has received multiple awards in recognition of her work, including the NSF CAREER Award, Sloan Research Fellowship, Johnson & Johnson WiSTEM2D Math Scholar Award, MIT Technology Review 35 Innovators Under 35 China, Harvard Radcliffe Fellowship, and COPSS Emerging Leader Award.

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A Gradual Evolution in Bioinformatics Research

This talk will survey my lab's computational biology research from the 1990s to the present and touch upon the broader directions of the field. I'll start by discussing some early work on structure and simulation and how this transitioned into studying protein and gene networks and, eventually, human genome annotation with machine-learning models. Finally, I'll discuss some of our current work developing models for variant impact based on allele-specific binding and how this highlights the role of transcription-factor binding motifs that are particularly sensitive to mutation. I'll end with thoughts on where I think the field is going. In particular, I’ll discuss the importance of dealing with large amounts of private data and using digital sensors to phenotype individuals more accurately.

Biography

After graduating from Harvard with an AB in physics in 1989, Prof. Mark Gerstein earned a doctorate in theoretical chemistry and biophysics from Cambridge in 1993. He did postdoctoral research at Stanford and then came to Yale in 1997 as an assistant professor. In 2003 he became co-director of the Yale Computational Biology & Bioinformatics Program. Prof. Gerstein has published appreciably, with >600 publications, including several in prominent venues, such as Science and Nature. His research is focused on biomedical data science, and he is particularly interested in machine learning, macromolecular simulation, human-genome annotation, disease genomics, and biomedical privacy.

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Motivation

The pandemic has shown the scientific community the benefits and limitations of virtual conferences. While a lower carbon footprint is a clear advantage of virtual meetings, it has become clear that creativity and exchange of ideas happen best through personal interaction.  However, there is a growing concern about how to make travel and attendance more sustainable and respectful for the planet. The ISMB/ECCB 2023 Sustainable Conference Travel Award aims to promote sustainable travel to scientific meetings by rewarding delegates who show environmentally friendly travel to attend the ISMB/ECCB 2023 Conference in Lyon, France.

How to participate

Do you have a plan for more sustainable travel to Lyon for the ISMB/ECCB 2023 conference? This could be travel using land rather than air transport for the totality or parts of your trip, or traveling with other participants using a common rental, or simply implementing environmentally friendly actions during your trip. If you wish to participate in the ISMB/ECCB 2023 SCTA, this is how it works:

• Click HERE to submit your entry to the ISMB/ECCB 2023 Sustainable Conference Travel Award describing how you are planning to make your trip different and more sustainable. Your abstract should include:
  • how you will travel/plan for travel,
  • how many ISMB/ECCB 2023 attendees are involved in your trip,
  • how many miles you will cover, an estimate of the carbon footprint savings, and
  • how you will communicate your travel through social media.

You should provide documentation that demonstrates your sustainable travel (tickets, rental contracts, twitter posts, etc). You are encouraged to use the hashtag #GreenTravel2ISMB

• At the registration desk in Lyon at the Palais des congres de Lyon, indicate you are participating in the Sustainable Conference Travel Award to receive the SCTA ribbon.
• The GreenISCB committee will select the two best sustainable conference travel experiences. We will consider not only the carbon footprint saving, but also the number of participants involved, the creativity and effort at designing an alternative travel choice, and the dissemination of the initiative. Each winning proposal will receive prizes - monetary cash prizes, memberships, and other items.
• Winners may be asked to give a short presentation about their proposal and experience during the conference.

If you plan to participate in this programme, please submit your plans by July 14, 2023.  You will have the opportunity to upload your PDFs and other documentation closer to the conference. This is the documentation that demonstrates your sustainable travel (tickets, rental contracts, twitter posts, etc). This is an illustration that your travel choice was more sustainable than other travel options, how many miles covered in travel, demonstration of how you are communicating your sustainable travel choices.

CAREER CENTER @ ISMB/ECCB 2023

Recruit – Engage – Inform

Connect with over 1,400 researchers, students, & postdocs from around the world!

Promote, Discuss, & Interview – Enjoy three-days of connecting all in one place!

**Jobs will be posted on the ISCB career page giving you 60 days of promotion**

For further information, contact Nadine K Costello (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Career Fair

Career Fair will take place Thursday, July 27th from 12:40pm - 2pm in the Exhibition Area.

Click HERE for the digital ISMB Jobs Board or scan the QR code at the ISCB booth in the Exhibit Hall. 

Attending the Career Fair

• Conference attendees participating in the Career Fair must upload their resume into the ISCB Career Center (https://careers.iscb.org/) resume repository and will have a 'Talent' ribbon on their conference badge.
  • Sign-up is allowed on-site to attend the Career Fair but attendees MUST stop by the ISCB Booth and sign up.

Recruiting at the Career Fair

• Institutions/Exhibitors participating in the Career Fair will have a blue identifier on their exhibit booth/recruiter tables. Additional institutions that are recruiting will have a table in the Exhibit Hall near the Jobs Board.
  • Recruiters participating in the Career Fair will have available positions posted on the jobs board and/or additional opportunities at their tables and will have a 'Talents Seeker' ribbon on their conference badge.
• Please stop by the ISCB booth to see Bel Hanson or email This email address is being protected from spambots. You need JavaScript enabled to view it. with any questions.

Career Fair Recruiters

• Barcelona Supercomputing Center (PerMedCoE)
• Novo Nordisk Research Centre - Oxford
• Pfizer
• St. Jude Children's Hospital
• The Jackson Laboratory
• University of Colorado Anschutz Medical Campus - Department of Biomedical Informatics
• University of Florida
• University of Southern California

Insights from RNA-seq experiments into post-transcriptional control mechanisms

The genomic revolution has led to the development of large-scale technologies that measure in one experiment cellular features at a genome-wide scale. One top technology is RNA-seq, usually used to compare gene expression between two cellular states, but variations of which have opened the door to study post-transcriptional regulation of gene expression at an unprecedented scope. In fact, the knowledge and understanding of different mechanisms of post-transcriptional regulation have advanced side by side with the progress in these technologies. In my talk I will highlight original angles of the RNA-seq technology and data analysis, along with the novel biological knowledge they have led to. These include: a variation of RNA-seq (RIL-seq) by which the post-transcriptional regulatory network of non-coding RNAs and their targets in bacteria is deciphered. Innovative analysis of RIL-seq data, leading to discovery of novel regulatory RNAs embedded within mRNAs. Identification of transcription termination sites by non-conventional analysis of RNA-seq read patterns rather than read counts. This approach enables exploiting the RNA-seq data to detect premature transcription termination sites with a regulatory role. These examples, as well as other examples from other studies, emphasize the power of tailored RNA-seq experiments and creative analyses of the data for expanding our understanding of the molecular mechanisms an RNA molecule is involved in.

Biography

Hanah Margalit is a Professor of Computational Molecular Biology at the Hebrew University of Jerusalem, Israel.  She received her BSc in Mathematics and Biology and her PhD in Computational Biology from the Hebrew University. Her PhD research concerned mathematical modeling and simulation of molecular control mechanisms. For her postdoc she went to NIH, where she specialized in bioinformatics. When she returned to Israel she was among the first to develop this field within the scientific community in Israel. She was the first president of the Israeli Society of Bioinformatics and Computational Biology, was awarded the Landau Prize in Systems Biology, The Rothschild Prize in Life Sciences, Nature Award for Lifetime Achievement in Mentoring, and is an elected Fellow of the International Society of Computational Biology. Her studies concern integration of various types of genomic, transcriptomic and proteomic data, in order to understand the intertwining of different regulation levels in the cell. These include mainly transcription regulation by transcription factors and post-transcriptional regulation by small non-coding RNAs and ribonucleases. Among the contributions of the group is the first systematic discovery of novel small RNA-encoding genes based on the genome sequence, detection of mixed regulatory circuits involving various levels of regulation, the discovery of a novel immuno-evasion mechanism mediated by a viral miRNA, and the deciphering of post-transcriptional regulation networks of regulatory RNAs and targets, using state-of-the-art RNA-seq-based technologies.

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External Reviewers

Rosa Aghdam,School of Biological Sciences, Institute of fundamental sciences (IPM)
Constantin Ahlmann-Eltze,EMBL Heidelberg
Omar Ahmed,Johns Hopkins University
Kyle Akers,Virginia Polytechnic and State University
Mohammad Al Olaimat,University of North Texas
Jarno Alanko,University of Helsinki
Nico Alavi,Max Planck Institute for Molecular Genetics
Blessy Antony,Virginia Polytechnic Institute and State University
Faisal Bin Ashraf,University of California, Riverside
Shamim Ashrafiyan,Goethe University Frankfurt
Jennifer Asmussen,Baylor College of Medicine
Behrooz Azarkhalili,Sharif University of Technology
Fatemeh Baghdadi
Tavor Baharav,Stanford University
Ali Tugrul Balci,University of Pittsburgh
Philip Baldassari,Temple University
Sean Bankier,University of Bergen
Sina Barazandeh,Bilkent University
Márcia Barros,Faculty of Sciences, University of Lisbon
Jakub Bartoszewicz,Hasso Plattner Institute
Fritz Bayer,ETH Zürich
Emmanuelle Becker,IRISA / University of Rennes 1
Fatemeh Behjati Ardakani,Uniklinikum and Goethe University Frankfurt
Eugeni Belda,Institut de Recherche pour le Developpement (IRD)
Caroline Belser,Genoscope
Philipp Benner,Max Planck Institute for Molecular Genetics
Jamie Bennett,Icahn School of Medicine at Mount Sinai
Evi Berchtold,Ludwig Maximilian University of Munich
Rupa Bhowmick
Ben Bimber,Oregon Health & Science University
Luka Borozan,J.J. Strossmayer University of Osijek, Department of Mathematics
Aritra Bose,IBM
Matthew Brendel,Cornell University
Helene Bret,CEA saclay
Galadriel Brière,AMU - I2M - MMG
Diyue Bu,Indiana University Bloomington
Doruk Cakmakci,McGill University
Kai Cao,Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Arnab Chakrabarti,RWTH Aachen University
Sakshar Chakravarty,University of California, Riverside
Hanrong Chen,Genome Institute of Singapore
Nae-Chyun Chen,Exai Bio
Shuyang Chen,University of Wisconsin-Madison
Karishma Chhugani,University of Southern California
Uthsav Chitra,Princeton University
Yongin Choi,University of California, Davis
Saket Choudhary,University of Southern California
Carolina Chung
Davide Cirillo,Barcelona Supercomputing Center
Andrew Cirincione,Icahn School of Medicine at Mount Sinai
Ivan Costa
Jasmin Coulombe-Huntington,McGill University
Fernando Hugo Cunha Dias,University of Helsinki
Fabiola Curion,Technical University of Munich, Helmholtz Zentrum München
Pawel Czyz,ETH Zurich
Raghuram D R,University of Bielefeld
Alister D'Costa,Ontario Institute for Cancer Research
Ning Dai,Oregon State University
Supratim Das,Indian Institute of Science Education and Research - Pune
Fernando Miguel Delgado Chaves,Institute for Computational Systems Biology
France Denoeud,Genoscope, CEA/Université Paris-Saclay
Alice Descoeudres,Gene center LMU Munich
Aboud Diab,Simon Fraser University
Diego Diaz,University of Chile
Yi Ding,Stanford University
Meleshko Dmitrii,enter for algorithmic biotechnologies, SPbSU
Natnatee Dokmai,Indiana University Bloomington
Gabriel Dolsten
Daria Doncevic
Sergio Doria,BSC
Yoann Dufresne,Institut Pasteur
Jorge Duitama,Universidad de los Andes
Kai Dührkop,Friedrich-Schiller-University Jena
Shane Elder,Carnegie Mellon University
Li Fang,Children's Hospital of Philadelphia
Peiyuan Feng,Tsinghua University
Mathew Fischbach,University of MInnesota
Yilei Fu,Rice University
Qiang Fu,Sciensano
Lara Fuhrmann,ETHZ
Yang Gao,Zhejiang University
Carlos Garcia-Hernandez,Barcelona Supercomputing Center
Johannes Gawron,ETH Zürich
Ali Ghaffaari,Bielefeld University
Krzysztof Gogolewski,Institute of Informatics, University of Warsaw
Daniel Gonçalves,IDMEC/IST
Assaf Gottlieb,School of Biomedical Informatics, UTHealth
Ellie Haber,Carnegie Mellon University
Armin Hadziahmetovic,LFE Bioinformatik LMU
Maryam Haghani,Computer science department, VirginaTech
Tom Aharon Hait,Tel Aviv university
Yuhan Hao,New York Genome Center
Ananth Hari,University of Maryland
Lincoln Harris,University of Washington
Austin Hartman,New York Genome Center
Michael Hartung,University of Hamburg
Ramin Hasibi,University of Bergen
Arshia Hassan,University of Minnesota
Dennis Hecker,Goethe University Frankfurt
Soroor Hediyeh-Zadeh,Institute of Computational Biology - Helmholtz Zentrum Muenchen
Matthias Heinig,Max-Planck-Institute for molecular genetics
Demetrius Co-Review Hernandez,The University of Texas at El Paso
Quang Minh Hoang,Carnegie Mellon University
Ermin Hodzic,Simon Fraser University
Nils Hoffmann
Jan Hoinka,NCBI, NIH
Tanja Holstein,Bundesanstalt für Materialforschung
Liang Hong,The Chinese University of Hong Kong
Yuhui Hong,Indiana University
Rob Hooft,Dutch Techcentre for Life Sciences
Kangcheng Hou,University of California, Los Angeles
Dewei Hu,Novo Nordisk Foundation Center for Protein Research, University of Copenhagen
Hongru Hu,University of California Davis
Jian Hu,Emory University
Ruifeng Hu,UTHealth-Houston
Zhihang Hu,CUHK
Tianyang Huang
Alissa M. Hummer,Department of Statistics, University of Oxford
Linh Huynh,UCD
Martin Hölzer,Robert Koch Institute
Junichi Iwakiri,The University of Tokyo
Laurent Jacob,CNRS
Shani Jacobson,Tel Aviv University
Elham Jafari,INDIANA UNIVERSITY
Aleksander Jankowski,University of Warsaw
Anupama Jha,University of Washington
Minxue Jia,University of Pittsburgh
Markus Joppich,Ludwig Maximilian University of Munich
Akshay Juyal,Georgia State University
Sandeep Kambhampati,Harvard University
Mostafa Karimi,Amazon.com
Nikoletta Katsaouni,Institute of Cardiovascular Regeneration
Panagiotis Katsonis,Baylor College of Medicine
Farah Zaib Khan,Australian Biocommons
Mariyam Khan,University of Bergen
Parsoa Khorsand,University of California, Davis
Bryce Kille,Rice University
Yejin Kim,University of Texas Health Science Center at Houston
Alexandra Kolodyazhnaya
JungHo Kong
Tomasz Kosciolek,Jagiellonian University in Kraków
Thomas Krannich,Robert Koch Institute
Fleming Kretschmer
Gregory Kucherov,CNRS/LIGM
Halil Ibrahim Kuru,Bilkent Universtiy
Doyoung Kwak,Texas A&M
Zlatko-Salko Lagumdzija,University of Maryland College Park
Kaari Landry,University of Manitoba
Sanghoon Lee
Yoonkyu Lee,University of Minnesota
Ingoo Lee,School of Medicine, University of California at San Diego
Yipin Lei,Silexon
Marta Lemanczyk,Hasso-Plattner-Institute at University of Potsdam
Hagai Levi,Tel Aviv University
Dongshunyi Li,Carnegie Mellon University
Gang Li,University of Washington at Seattle
Guangyuan Li,Cincinnati Children's Hospital Medical Center
Hechen Li,Georgia Institute of Technology
Heng Li
Heng Li,Dana-Farber Cancer Institute; Harvard Medical School
Mengzhen Li,Case Western Reserve University
Pengyuan Li,IBM Research
Ruoxin Li,University of California, Davis
Shuang Li,Ludwig Maximilian University of Munich (LMU)
Wei Vivian Li,University of California, Riverside
Weiling Li,Weill Cornell Medicine
Xiang Li,Pennsylvania State University
Yan Chak Li,Icahn School of Medicine at Mount Sinai
Zhijian Li,Broad Institute of MIT and Harvard
Shaoheng Liang,UT MD Anderson Cancer Center
Zhirui Liao,Fudan University
Jeanine Liebold,Universität Hamburg
Arnaud Liehrmann,Université Paris-Saclay
Dawei Lin
Lynn Lin,Duke University
Xing Liu,BGI-Shenzhen
Xinhao Liu,Princeton University
Ziyu Liu,Royal Melbourne Institute of Technology
Xinyang Liu
Junyan Lu,University Hospital Heidelberg
Adriaan Ludl,Universitet i Bergen
Marcus Ludwig,Friedrich Schiller University Jena
Xiang Ge Luo,ETH Zurich
Xiao Luo,Bielefeld University
Cong Ma,Princeton University
Wenjing Ma,Emory University
Xiaojun Ma,University of Pittsburgh
Sita Sirish Madugula
Hugo Magalhães,Heinrich Heine University, Institute for Medical Biometry and Bioinformatics
Andreas Maier,Institute for Computational Systems Biology (Cosy.Bio) - University of Hamburg
Muhammad Ammar Malik,University of Bergen
Noel Malod-Dognin,University College London
Astrid Manuel,University of Texas Health Science Center
David Marciano,Baylor College of Medicine
Sergei Margasyuk,Skolkovo Institute for Science and Technology
Alexander Martinez Fundichely,WCM
Nuno Martinho,IST-IBB
Zachary McCaw,Harvard University
Alan Medlar,University of Helsinki
Katarina Mihajlovic,Barcelona Supercomputing Center
Marianna Milano,università magna graecia catanzaro
Gutama Ibrahim Mohammad,University of Bergen
Fatemeh Mohebbi,Georgia State University
Amirsadra Mohseni,University of California, Riverside
Yasser Mohseni Behbahani,Sorbonne Université
Arnau Montagud,Barcelona Supercomputing Center (BSC)
Pablo Monteagudo,Ludwig-Maximilians-Universität München (LMU)
Cecile Moulin,INRAE
Marcin Możejko,University of Warsaw
James Nagai,Institute for Computational Genomics, RWTH University Hospital
Sayyed Ahmad Naghavi Nozad,Bilkent University
Sourena Naser Moghaddasi,University of Victoria
Seyednami Niyakan,Texas A&M University
Esmaeil Nourani,Azarbaijan Shahid Madani University
Daniel Novikov,Georgia State University
Robert Nowak,Warsaw University of Technology, Institute of Computer Science
Yannek Nowatzky
Melania Nowicka,Freie Universiteat Berlin
Iker Nuñez,Barcelona Supercomputing Center
Johan Nystrom-Persson,JNP Solutions
Felix Offensperger
Cerag Oguztuzun,Case Western Reserve University
Sofiane Ouaari,University Tübingen
Mhaned Oubounyt,chonbuk national university
Xinhai Pan,Georgia Institute of Technology
Suman Pandey
Sungjoon Park,UC San Diego
Tae Yoon Park,Princeton University
Saeid Parvandeh
Antoine Passemiers,KU Leuven
Yesha Patel,University of Southern California
Eric Pederson,University of Massachusetts Amherst
Kerui Peng,University of Southern California
Xingang Peng,Tsinghua University
Rafael Peres da Silva, National University of Singapore, Singapore
Mauricio Perez,Genome Institute of Singapore - A*STAR
Mihaela Pertea
Nadia Pisanti,University of Pisa
Daniel Platt,IBM
Miguel Ponce de Leon,Barcelona Supercomputing Center
Stephanie Portillo
Niklas Probul,Computational Biology
Guillermo. Prol Castelo
Taneli Pusa,Aalto University
Yue Qin,University of California San Diego
Yutong Qiu,Carnegie Mellon University
Daniele Raimondi,Katholieke Universiteit Leuven
Félix Raimundo,Google
Suraj Rajendran,Weill Cornell Graduate School
Koushul Ramjattun
Nimrod Rappoport,Tel Aviv University
Milong Ren
Shaogang Ren,Texas A&M Unviersity
Yihui Ren
Jubair Ibn Malik Rifat,University of North Texas
Sarah Robinson,University of Oxford
Sandra Romain,INRIA
Stefano Roncelli,Novo Nordisk Foundation Center for Protein Research
Cynthia Ronkowski,University of Southern California
Krishna Roskin,Cincinnati Children's Hospital Medical Center
Kevin Rupp,ETH Zurich
Ben Rush
April Sagan
Bikram Sahoo,GSU
Justin Sanders,University of Washington
Nicolae Sapoval,Rice University
Sinem Sav,EPFL
Castrense Savojardo,University of Bologna
Leah Schaffer,University of California, San Diego
Johannes Schlüter,Universität Bielefeld
Lancelot Seillier,RWTH Aachen University Clinic
Saleh Sereshki,University of California Riverside
Kishwar Shafin,Google LLC
Mina Shaigan,Institute for Computational Genomics, RWTH University Hospital
Pramesh Shakya,University of Central Florida
Elham Shamsara,Department of Computer Science, University of Tübingen
Nitesh Kumar Sharma,University of Southern California
Jim Shaw,University of Toronto
Yihang Shen,Carnegie Mellon University
Yoshihiro Shibuya,Université Paris-Est Marne-la-Vallée
Neda Shokraneh,Simon Fraser University
Moustafa Shokrof,University of California Davis
Hantao Shu,Tsinghua University
Li Shuya,Tsinghua University
Juliana Silva Bernardes,UMR 7238 CNRS Biologie Computationnelle et Quantitative
Haris Smajlovic,University of Victoria
Johannes Soeding,Max Planck Institute for Multidisciplinary Sciences
Nataliya Sokolovska,Sorbonne University, INSERM, NutriOmics
Arda Soylev,Heinrich Heine University Düsseldorf
Ana Stanescu,Department of Computer Science, University of West Georgia
Benjamin Strober,Havard School of Public Health
Alexander Strzalkowski,Princeton University
Yiqi Su,Virginia Tech
Hong Su
Junhao Su,University of Hong Kong
Amanda Sun
Paulina Szymczak,University of Warsaw
Ichigaku Takigawa,Hokkaido University
Nure Tasnina,Virginia Tech
Haotian Teng,Carnegie Mellon University
Jonathan Teo,A*STAR GIS
Goro Terai,The University of Tokyo
Tingzhong Tian,Tsinghua University
Yatish Turakhia,University of California San Diego
Petri Törönen,University of Helsinki
Varun Ullanat,Harvard Univeristy
Jens-Uwe Ulrich,Hasso Plattner Institute, University Potsdam
Ali Burak Unal,University of Tuebingen
Texas University,texas a&m university
David van Bruggen,Harvard University
Yashu Vashishath,University of North Texas
Mariia Vlasenok,Skolkovo Institute of Science and Technology
Lucy Vost,University of Oxford
Lacey Walker
Sarah Walker
Fangping Wan,Tsinghua University
Zhiyu Wan,Vanderbilt University Medical Center
Chen Wang
Hanchen Wang,Genentech & Stanford
Kun Wang
Wen Wang,University of Minnesota
Xingyan Wang,Penn State College of Medicine
Yihe Wang,University of North Carolina - Charlotte
Weidong Wang
Lucia Williams,Montana State University
Roland Wittler,Bielefeld University
Cas Wognum,Universiteit Utrecht
Sarah Wright
Yue Wu,UCLA
Stefan Wuchty,Univ. of Miami
Alexandros Xenos,Barcelona Supercomputing Centre
Guanjue Xiang,Data science department, Dana Farber Cancer Institute
Fangxiong Xiao
Lei Xie,Hunter College, The City University of New York
Chencheng Xu,Tsinghua University
Junyan Xu,National Cancer Institute
Chenling Xu,Triplebar
Duo Xu,Cornell University
Chao Yan,Vanderbilt UNIVERSITY
Hua-Ting Yao,Ecole Polytechnique
Melih Yilmaz,University of Washington
Kaan Yorgancioglu,Case Western Reserve University
Yuning You,Texas A&M University
Zheng Yuan,Alibaba DAMO Academy
Elizabeth Yuu,Hasso Plattner Institut
Carme Zambrana,Barcelona Supercomputing Center
Xiaofei Zang,Pennsylvania State University
Qiuhai Zeng
Haowen Zhang,Georgia Institute of Technology
Ran Zhang,University of Washington
Richard Zhang
Xiang Zhang,University of Minnesota
Xinru Zhang
Yang Zhang,Carnegie Mellon University
Yanlin Zhang,McGill University
Yujie Zhang,Harvard T.H. Chan School of Public Health
Ziqi Zhang,Georgia Institute of Technology
Liang Zhao,University of South Carolina
Xiaoyu Zhao,UCSD
Zhengqiao Zhao
Liang Zhao,University of South Carolina
Zhenxian Zheng,Department of Computer Science, The University of Hong Kong
Jingtian Zhou,UCSD
Qinghui Zhou,University of Victoria
Tianming Zhou,Carnegie Mellon University
Tianshuo Zhou,Oregon State University
Rui Zhu,Indiana University
Yingying Zhu,UTA
Houxiang Zhu,University of Chicago
Licheng Zong
Ozan Özışık,Yildiz Technical University
Hakime Öztürk,Boğaziçi University