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<!DOCTYPE html>
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<div class="header">
<a href="#about">About</a>
<a href="#keynoteInvite">Keynote & Invited Speakers</a>
<a href="#organizers">Organizers</a>
<a href="#student-co-organizers">Student Co-organizers</a>
<!-- <a href="#programCommittee">Program Committee</a> -->
<a href="./index.html" id="backbutton">Back</a>
</div>
<div class="title">
<h1>NeurIPS 2023: LLMs4Science</h1>
<h4>An open exchange of ideas to spur foundational research and
LLM-enabled breakthroughs across scientific disciplines</h4>
</div>
<div id="about" class="section">
<h2>About</h2>
<p>Rapid advances in large language models (LLMs) provide an unprecedented opportunity to further scientific inquiry across scientific disciplines and domains. Despite remarkable feats in natural language tasks often exclusively indicative of human intelligence, the potential of LLMs beyond natural language has yet to be realized. Outstanding challenges in diverse scientific disciplines, such as molecular biology, material science, climate science, geology, hydrology, and various domains within them, such as drug discovery, quantum material design, weather forecasting, and more, necessitate the integration of heterogeneous, multi-modal datasets resulting from diverse physical processes, as well as the injection of deep domain knowledge accumulated over decades of discovery about the inherent processes that govern the natural and biological world. This workshop brings together diverse researchers from various disciplines to formulate problem spaces, datasets, standards, benchmarks, and spur innovation on accessible and inclusive LLMs to power the next scientific breakthroughs.</p>
</div>
<div id="keynoteInvite" class="section">
<h2>Keynote & Invited Speakers</h2>
<div id="keynote-speakers">
<h3>Keynote Speakers</h3>
<div id="keynote" class="subsection">
<div class="speaker">
<img src="./images/Keynoters/SanmiKoyejo.jpg" alt="Sanmi Koyejo">
<h3><a href="https://cs.stanford.edu/people/sanmi/">Sanmi Koyejo</a></h3>
<p>Assistant Professor, Stanford University</p>
</div>
<div class="speaker">
<img src="./images/Keynoters/ChristianDallago.png" alt="Christian Dallago">
<h3><a href="https://christian.dallago.us/">Christian Dallago</a></h3>
<p>Senior Solutions Architect in Life Sciences, Nvidia</p>
</div>
<div class="speaker">
<img src="./images/Keynoters/gomes-2021.png" alt="Carla Gomez">
<h3><a href="https://www.cs.cornell.edu/gomes/">Carla Gomez</a></h3>
<p>Professor, Cornell University</p>
</div>
<div class="speaker">
<img src="./images/Keynoters/DavidLeslie.jpg" alt="David Leslie">
<h3><a href="https://www.turing.ac.uk/people/researchers/david-leslie">David Leslie</a></h3>
<p>Professor, Alan Turing Institute</p>
</div>
<div class="speaker">
<img src="./images/Keynoters/SaraMostafavi.png" alt="Sara Mostafavi">
<h3><a href="http://saramostafavi.github.io/">Sara Mostafavi</a></h3>
<p>Associate Professor, University of Washington</p>
</div>
<div class="speaker">
<img src="./images/Keynoters/AlbertGu.png" alt="Albert Gu">
<h3><a href="https://stanford.edu/~albertgu/">Albert Gu</a></h3>
<p>Assistant Professor, Carnegie Mellon University</p>
</div>
</div>
</div>
<div id="invited-speakers">
<h3>Invited Speakers</h3>
<h4>Panel I – Large Language Models Foundational Research</h4>
<div id="part-I" class="subsection">
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-I/AlexanderRush.png" alt="Alexander Rush">
<h3><a href="https://rush-nlp.com/">Alexander Rush</a></h3>
<p>Associate Professor, Cornell University</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-II/KrzysztofChoromanski.jpg" alt="Krzysztof Choromanski">
<h3><a href="https://research.google/people/KrzysztofChoromanski/">Krzysztof Choromanski</a></h3>
<p>Staff Research Scientist, Google DeepMind</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-I/NiLao.png" alt="Ni Lao">
<h3><a href="https://noon99jaki.github.io/">Ni Lao</a></h3>
<p>Staff Research Scientist, Google</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-I/LingfeiWu.png" alt="Lingfei Wu">
<h3><a href="https://sites.google.com/a/email.wm.edu/teddy-lfwu/">Lingfei Wu</a></h3>
<p>Engineering Manager, Pinterest</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-I/TuoZhao.jpg" alt="Tuo Zhao">
<h3><a href="https://www2.isye.gatech.edu/~tzhao80">Tuo Zhao</a></h3>
<p>Assistant Professor, Georgia Tech</p>
</div>
</div>
<h4>Panel II – Bridging the Gap: LLMs for Scientific Breakthroughs</h4>
<div id="part-II" class="subsection">
<!-- Panel II speakers here -->
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-II/LucyColwell.jpg" alt="Lucy Colwell">
<h3><a href="https://www.ch.cam.ac.uk/person/ljc37">Lucy Colwell</a></h3>
<p>Associate Professor, University of Cambridge</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-II/RamanaDaluvuri.png" alt="Ramana Daluvuri">
<h3><a href="https://bmi.stonybrookmedicine.edu/people/ramana_davuluri">Ramana Daluvuri</a></h3>
<p>Professor, Stony Brook</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-II/QiaoZhuMei.jpg" alt="Qiaozhu Mei">
<h3><a href="http://www-personal.umich.edu/~qmei/">Qiaozhu Mei</a></h3>
<p>Professor, U Mich Ann Arbor</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-II/JinboXu.png" alt="Jinbo Xu">
<h3><a href="https://home.ttic.edu/~jinbo/">Jinbo Xu</a></h3>
<p>Professor, Toyota Tech Institute</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-II/AlexanderHuth.png" alt="Alexander Huth">
<h3><a href="https://www.cs.utexas.edu/people/faculty-researchers/alexander-huth">Alexander Huth</a></h3>
<p>Assistant Professor, UT Austin</p>
</div>
</div>
<h4>Panel III – Next Scientific Breakthroughs – Problems, Datasets, Benchmarks</h4>
<div id="part-III" class="subsection">
<!-- Panel III speakers here -->
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-III/MauroCalabrese.jpg" alt="Mauro Calabrese">
<h3><a href="https://www.med.unc.edu/pharm/directory/j-mauro-calabrese-phd/">Mauro Calabrese</a></h3>
<p>Associate Professor, UNC Chapel Hill</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-III/AnnaGoldenberg.png" alt="Anna Goldenberg">
<h3><a href="https://www.sickkids.ca/en/staff/g/anna-goldenberg/">Anna Goldenberg</a></h3>
<p>Senior Scientist, Sick Kids Research Institute, University of Toronto</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-III/Pedja.jpg" alt="Predrag Radivojac">
<h3><a href="https://www.ccs.neu.edu/home/radivojac/">Predrag Radivojac</a></h3>
<p>Professor, Northeastern University</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-III/XiaBenHu.png" alt="Xia 'Ben' Hu">
<h3><a href="https://cs.rice.edu/~xh37/index.html">Xia "Ben" Hu</a></h3>
<p>Associate Professor, Rice University</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-III/GreyNearing.jpg" alt="Grey Nearing">
<h3><a href="https://scholar.google.com/citations?user=nWW7D-IAAAAJ&hl=en">Grey Nearing</a></h3>
<p>Assistant Professor, University of California Davis</p>
</div>
<div class="speaker">
<img src="./images/InvitedSpeakers/Panel-III/erin-molloy.jpg" alt="Erin Molloy">
<h3><a href="https://ekmolloy.github.io/">Erin Molloy</a></h3>
<p>Assistant Professor, Univ Maryland College Park</p>
</div>
</div>
</div>
</div>
<div id="organizers" class="section">
<h2>Organizers</h2>
<div id="organizer-list">
<div class="organizer">
<img src="./images/Organizers/Shehu-small.png" alt="Amarda Shehu">
<div class="org_content">
<h3><a href="https://cs.gmu.edu/~ashehu/" class="org_name">Dr. Amarda Shehu</a></h3>
<p>Professor, Associate Dean of Engineering for AI Innovation and Associate Vice President of Research, George Mason University</p>
<p>Dr. Amarda Shehu is a Professor in the Department of Computer Science at George Mason University, where she is also Associate Dean of Engineering for AI Innovation and Associate Vice President of Research for the Institute of Digital InnovAtion. Shehu obtained her Ph.D. from Rice University in 2008, where she was also an NIH predoctoral fellow in the Nanobiology Program and was dually trained in AI and Molecular Biophysics. Shehu's research bridges foundational AI research and AI in support of progress across scientific disciplines. Her scholarship includes work at the intersection of stochastic optimization, planning, deep learning, optimization for deep learning, bioinformatics, health informatics, applied NLP, and more. She is a 2022 Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and is passionate about bridging scientific communities. She regularly delivers keynotes and invited talks (IEEE BIBM 2022, BIOKDD 2021, ICCABS 2020, etc.), organizes tutorials and workshops in ACM and IEEE bioinformatics and evolutionary computation conferences, and journal collections and special issues (PLoS Comput Biol, Curr Opin Struct Biol, Molecules, Intl J Mol Sci, etc.) to advance transdisciplinary research. Shehu also served as Program Director in the CISE directorate at NSF 2019-2022 during which time she galvanized various sub-communities of CISE, BIO, CHEM, and ENG researchers in transdisciplinary research, education programs, and workshops. She has extensive expertise bringing together silo-ed communities together in workshops (Women @ GECCCO, CSBW, AAAI Workshops, etc.), with a strong emphasis on integration and leadership for historically-minoritized researchers. </p>
<p><a href="mailto:amarda@gmu.edu">amarda@gmu.edu</a></p>
</div>
</div>
<div class="organizer">
<img src="./images/Organizers/Yana.png" alt="Yana Bromberg">
<div class="org_content">
<h3><a href="https://www.cs.emory.edu/people/faculty/individual.php?NUM=767" class="org_name">Dr. Yana Bromberg</a></h3>
<p>Professor, Departments of Computer Science and Biology, Emory University, Hans Fischer Fellow, Institute for Advanced Study, Technical University of Munich</p>
<p>Dr. Yana Bromberg is a Professor in the Departments of Computer Science and Biology at Emory University and a Hans Fischer Fellow at the Institute for Advanced Study in the Technical University of Munich. She is a noted researcher in computational molecular biology. A former NLM Biomedical Informatics doctoral student, she is trained in molecular biology and bioinformatics. She is known for her work in annotation of genome variant-caused functional changes, tracking of microbiome functional shifts due to environmental pressures, and exploration of protein structures at the origins of life. Her seminal SNAP method, the first neural network-based tool for predicting functional impacts of single amino acid substitutions has enabled novel variant assessment methods and whole genome analyses and methods for mapping genetic architectures of disease. Bromberg has advanced computational annotation, prediction, and analysis of protein functionality, establishing the library of protein folds at the origins of life. Her exploration of the microbial world has led to advances in understanding molecular functional diversity carried out by individual microbes and emergent functionality in microbial communities. Bromberg is a director of the International Society for Computational Biology and has filled a number of leading roles in the organization of ISMB -- the society's annual flagship conference. She consistently delivers keynotes and invited talks at national and international conferences (ISMB, GRC, etc.) and lectures at relevant workshops and courses (STAMPs workshop @MBL, the University of Bologna International Masters Bioinformatics program, etc.)</p>
<p><a href="mailto:yana@bromberglab.org">yana@bromberglab.org</a></p>
</div>
</div>
<div class="organizer">
<img src="./images/Organizers/Liang.png" alt="Liang Zhao">
<div class="org_content">
<h3><a href="https://cs.emory.edu/~lzhao41/" class="org_name">Dr. Liang Zhao</a></h3>
<p>Associate Professor, Department of Computer Science, Emory University</p>
<p>Dr. Liang Zhao is an Associate Professor in the Department of Computer Science at Emory University with extensive experience in spatiotemporal data mining, network modeling, deep learning, interpretable machine learning, and nonconvex and distributed optimization. His work is published at top conferences/journals, including KDD, NeurIPS, ICLR, ICDM, AAAI, IJCAI, WWW, TKDE, CSUR, PIEEE, and TPAMI. He received the NSF CAREER Award, Amazon Research Award, Meta Research Award, Cisco Faculty Research Award, and Jeffress Trust Award. His paper on deep subgraph anomaly detection won the Best Paper Award in ICDM 2022. His paper on interpretable representation learning is among the Best Paper Shortlist in WWW 2021. He has also won Best Paper Runner-up and Best Paper Candidate in ACM SIGSPATIAL 2022. His paper on deep graph transformation and applications on molecule reaction prediction won the Best Paper Award in ICDM 2019. His recent book ``Graph Neural Network: Foundations, Frontiers, and Applications'' received over 100K accesses in the publisher Springer link's website. Its Chinese version has won Best-Seller Award from Post \& Telecom Press. Zhao has disseminated over 30 software tools and numerous datasets. </p>
<p><a href="mailto:liang.zhao@emory.edu">liang.zhao@emory.edu</a></p>
</div>
</div>
</div>
</div>
<div id="student-co-organizers" class="section">
<h2>Student Co-Organizers</h2>
<h3>George Mason University</h3>
<div id="GeorgeMasonUniversity" class="subsection">
<div class="speaker">
<img src="./images/StudentOrganizers/Sam.png" alt="Samuel Blouir">
<h3><a href="https://www.linkedin.com/in/samblouir/">Samuel Blouir</a></h3>
<p>Role: Speaker Engagement</p>
</div>
<div class="speaker">
<img src="./images/StudentOrganizers/Anowarul.png" alt="Anowarul Kabir">
<h3><a href="https://www.linkedin.com/in/anowarul-kabir-25b0021b5/">Anowarul Kabir</a></h3>
<p>Role: PC Engagement</p>
</div>
<div class="speaker">
<img src="./images/StudentOrganizers/Manpriya.png" alt="Manpriya Dua">
<h3><a href="https://www.linkedin.com/in/mdua/">Manpriya Dua</a></h3>
<p>Role: DEI Ambassador</p>
</div>
<div class="speaker">
<img src="./images/StudentOrganizers/Asher.jpg" alt="Asher Moldwin">
<h3><a href="https://www.linkedin.com/in/asher-moldwin-8665519b/">Asher Moldwin</a></h3>
<p>Role: Social Media</p>
</div>
</div>
<h3>Emory University</h3>
<div id="EmoryUniversity" class="subsection">
<div class="speaker">
<img src="./images/StudentOrganizers/Bo.png" alt="Bo Pan">
<h3><a href="https://pb0316.github.io/">Bo Pan</a></h3>
<p>Role: DEI Ambassador</p>
</div>
<div class="speaker">
<img src="./images/StudentOrganizers/Yijun.png" alt="Yijun Liu">
<h3><a href="http://liuyijun.com">Yijun Liu</a></h3>
<p>Role: Workshop Website</p>
</div>
<div class="speaker">
<img src="./images/StudentOrganizers/Chen.png" alt="Chen Ling">
<h3><a href="https://lingchen0331.github.io/">Chen Ling</a></h3>
<p>Role: Social Media</p>
</div>
<div class="speaker">
<img src="./images/StudentOrganizers/Praba.png" alt="Prabakaram Ram">
<h3><a href="https://www.linkedin.com/in/prabakaran-ramakrishnan-87792418/?originalSubdomain=in">R. Prabakaran</a></h3>
<p>Role: PC Engagement</p>
</div>
</div>
</div>
<!-- <div id="programCommittee" class="section">
<h2>Program Committee</h2>
<div id="committee-list" class="subsection">
<ul>
<li>Ziyu Yao (George Mason Univ)</li>
<li>Diago Gomez-Zara (Univ of Notre Dome)</li>
<li>Xiaojie Guo (IBM)</li>
<li>Marcos Zampieri (George Mason Univ)</li>
<li>Carrie Gu (Stanford)</li>
<li>Fei Wang (Cornell)</li>
<li>Wei Zhang (IBM)</li>
<li>Gengchen Mai (University of Georgia)</li>
<li>Yifang Yin (A*Star)</li>
<li>Junxiang Wang (NEC Lab;he/him/his)</li>
<li>Yuyang Gao (HomeDepot)</li>
<li>Mark Hopkins (William & Mary)</li>
<li>John Giorgio (University of Toronto)</li>
<li>Tuo Zhao (Georgia Tech)</li>
<li>Mai Ha Vu (University of Toronto)</li>
<li>Theo Sanderson, Francis Crick Institute</li>
<li>Alexander Huth (UT Austin)</li>
<li>Kevin Lybarger (George Mason Univ)</li>
<li>Michael Heinzinger (Tech Univ Munich)</li>
<li>Tianfan Fu (Rensselaer Polytechnic)</li>
<li>Quanquan Gu (UCLA)</li>
<li>Lingfei Wu (Pinterest)</li>
<li>Fang Jin (GWU)</li>
<li>Mingrui Liu (George Mason Univ)</li>
<li>Wei Jin (Emory)</li>
<li>Yue Guo (Univ of Washington)</li>
<li>Andrei Slabodkin (Univ of Oslo)</li>
<li>Robert Frank (University of Toronto)</li>
</ul>
</div>
</div> -->
</body>
</html>