GIW/ISCB Asia Sponsorship Program
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2025 Prospectus
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Funding Information
GIW ISCB-Asia 2025 leadership is pleased to offer conference fellowships to ISCB members who are early career researchers (>10yrs post degree), postdoctoral fellows, or students. Conference fellowships are limited and we regret that we are not able to fund all applicants. The conference organizers are committed to providing support to as many eligible applicants as possible. Conference fellowship consideration is based on the criteria listed below.
Application Overview
- Applicant MUST BE a member of ISCB to be eligible for funding.
- Early career must be within 10 years post-degree
- All applicants must attend all conference days and secure additional funding from other sources in order to be able to cover the full costs of attending the conference.
- The deadline to submit a fellowship application is October 1, 2025 (End of Day, Anywhere on Earth) *no extensions*
Maximum Award Amounts
ISCB Fellowship award amounts will depend on the source of funding. Some sources will provide the exact amount of registration. For others, the amount will be a maximum of $500 USD, plus the cost of registration. Please note that funded applicants will only be able to cover approximately 50% of the expense of travel with these fellowship amounts. Thus all applicants must seek and secure additional funding sources (e.g., from your home institution/university, or grant funding) and a letter regarding this additional funding is required in PDF format as part of your application.
Links within this page: Fritz Sedlazeck | Steven Brenner | Xuegong Zhang | Hyun Uk Kim | Noam Shomron
Fritz Sedlazeck
Baylor College of Medicine
https://fritzsedlazeck.github.io/
Dr. Fritz Sedlazeck is an Associate Professor at the Human Genome Sequencing Center at Baylor College of Medicine and an Adjunct Associate Professor at Rice University. His research focuses on algorithmic developments and high-performance computing for genomic and genetic applications. Specifically, he studies ways to improve the characterization of complex genomic alterations between individuals’ genomes based on large genomic sequencing data and as such improve our understanding of complex phenotypes such as human diseases.
Steven Brenner
UC Berkeley
https://compbio.berkeley.edu/
Steven Brenner’s research is primarily in the area of computational genomics, including genome variation interpretation, genomic privacy, RNA regulation, protein structure evolution, and function prediction. He has a particular interest in the use of genome sequencing in newborns for population screening and new methods for genomic diagnosis.
Brenner’s undergraduate research was in the first genome laboratory, mentored by Walter Gilbert at Harvard. He received his M.Phil. from the Department of Biochemistry at Cambridge University, and earned a Ph.D. from the University of Cambridge and the MRC Laboratory of Molecular Biology where he studied with Cyrus Chothia. Brenner had a fellowship at the Japan National Institute of Bioscience, followed by postdoctoral research supervised by Michael Levitt at Stanford University School of Medicine.
Brenner has a commitment to supporting open science and development of a diverse, inclusive scientific community. He is currently a member of the ClinGen Sequence Variant Interpretation Working Group and Chair of the Computational subgroup, a director of the Human Genome Variation Society, and a chair of the HUGO Pathogenicity Committee. He was founding chair of the Computational Biology graduate program at Berkeley, a founding editor of PLoS Computational Biology, a founding chair of the Global Alliance for Genomics and Health’s Data Working Group Variant Annotation Task Team, and was a founding director of the Open Bioinformatics Foundation, His recognitions including being a Miller Professor, a Sloan Research Fellow, a Searle Scholar, an AAAS Fellow, an ISCB Fellow, and a recipient of ISCB’s Overton Prize.
Xuegong Zhang
Tsinghua University
http://eca.xglab.tech/member/index.html
Xuegong Zhang is Professor of Pattern Recognition and Bioinformatics in the Department of Automation, Tsinghua University, and Adjunct Professor of the School of Life Sciences and Tsinghua Medicine. He received his BS degree in 1989 and his Ph.D. degree in 1994 both from Tsinghua University, after which he joined the faculty of Tsinghua University. He was a visiting scientist at Harvard School of Public Health in 2001-2002 and 2006, and was a visiting scholar at University of Southern California in 2007. His research interests include machine learning, human cell atlas, intelligent precision medicine, AI foundation models and digital life systems. His early work on detecting differential gene expression from very small samples has been widely used in many labs across the globe, and his leading work on AI foundation models for single-cell transcriptomics put him as a pioneer of current AI biology. Dr. Zhang was elected as ISCB Fellow and CAAI Fellow in 2020, and was elected as the Vice President of ISCB in 2024. He is currently the co-Editors-in-Chief of the journal Quantitative Biology, the Vice President of ISCB, Chair of ISCB-China, and Chair of the Committee of Intelligent Health and Bioinformatics of Chinese Association of Automation (CAA).
Hyun Uk Kim
KAIST
https://pure.kaist.ac.kr/en/persons/hyun-uk-kim
Prof. Hyun Uk Kim is an Associate Professor at KAIST, affiliated with the Department of Chemical and Biomolecular Engineering and the Graduate School of Engineering Biology. He obtained his B.Sc. (2005) from Yonsei University and his M.Sc. (2007) and Ph.D. (2011) from KAIST. His research focuses on bio-big data and AI-driven systems biology, with applications in synthetic biology/metabolic engineering and precision medicine. He has published 98 scientific papers. His recent work includes the development of DeepEC, a deep-learning model for enzyme function prediction (PNAS, 2019); DeepMGR, a deep-learning model for predicting gene expression patterns under specific microbial culture conditions (Computational and Structural Biotechnology Journal, 2023); prediction of oncometabolite candidates (Genome Biology, 2024); A machine learning framework for extracting biological pathway information from large-scale literature sources (Metabolic Engineering, 2024); and prediction of multi-drug responses using electronic health records (Computers in Biology and Medicine, 2025). He has received several awards, including the KAIST College of Engineering Technology Innovation Award (2019) and the Impact Research Award (2019, 2021–2024). In 2021, he was appointed as a Kwon Oh-Hyun Associate Professor and received the Young Scientist Award from the Korean Society for Biotechnology and Bioengineering in 2020. He has been an invited/keynote speaker at international conferences, including Metabolic Engineering 15 (Singapore, 2023), The Automated Scientist by the Novo Nordisk Foundation (Denmark, 2024), and the 1st Asia & Pacific Bioinformatics Joint Conference (APBJC2024) (Japan, 2024).
Noam Shomron
Tel Aviv University
https://en-med.tau.ac.il/profile/nshomron
Noam Shomron is passionate about using basic science to advance better healthcare. He is a Professor of Digital Medicine and Functional Genomics at the Faculty of Medical & Health Sciences at Tel Aviv University after training at MIT. He leads a multidisciplinary team of scientists that develops computational methods for parsing big data in the bio-medical field using Artificial Intelligence. Noam published hundreds of peer-reviewed publications on multiple genomic fields; Editor of ‘Deep Sequencing Data Analysis’ book (Springer, Edition I 2013, and II 2021); Director of Djerassi Institute of Oncology; Academic Director of ‘ScienceAbroad’ (NPO); ranked Major in the army forensic lab; Co-founder of several Biotech and Digital Medicine companies: Variantyx, GotSho, IdentifAI, Everly Bio, 4nZOK, among others.
Links within this page: HKU University Museum and Art Gallery | Hiking from the UNK to the Peak
Discover, Connect, and Explore Hong Kong at GIW ISCB-Asia 2025!
Who says networking has to be all PowerPoint, posters and coffee breaks? At GIW ISCB-Asia 2025, we’re reinventing the way connections are made. Picture this: meaningful conversations sparked over dim sum, collaborations born amidst the glow of Victoria Harbour, and friendships forming on the vibrant streets of Hong Kong.
This year, we're blending science with the city's unique energy, offering activities that invite you to explore the culture, cuisine, and iconic sights—all while building your professional network. The following activities will organized at the close of the conference on Saturday, December 13. Registration is required for planning purposes.
Confirmed Activities
HKU University Museum and Art Gallery
The University Museum and Art Gallery (UMAG) of The University of Hong Kong, established in 1953, is Hong Kong's oldest continuously operated museum. Its diverse collection spans over 7,000 years, featuring Neolithic ceramics, Ming and Qing dynasty paintings, and rare bronzes, including ritual vessels and Tang dynasty mirrors. Highlights include one of the earliest known underglaze-blue ceramic pieces and the world's largest collection of Yuan dynasty Nestorian crosses. UMAG also hosts contemporary and historical exhibitions, fostering a vibrant connection between art, education, and the public. As a teaching museum, it continues to support the University and the broader community through programs and activities that celebrate art and history.
Hiking from the UNK to the Peak
https://www.gethigh-hk.com/post/hku-to-the-peak
The Lugard Road Lookout (The Peak), perched along the historic Lugard Road on Victoria Peak, offers one of Hong Kong’s most breathtaking panoramic views. Named after Sir Frederick Lugard, Hong Kong’s 14th Governor, this scenic spot captures the city’s iconic skyline, Victoria Harbour, and distant islands, blending urban energy with natural beauty. Built in the early 20th century, the lookout is a popular stop on the Peak’s circular walking trail, a tranquil escape surrounded by lush greenery. The Lugard Road Lookout is a timeless gem that showcases the harmonious contrast of Hong Kong’s urban and natural landscapes.
More to come….
Join us in Hong Kong, where science meets adventure, and networking takes a bold, exciting twist!