Qingbo Seiha Wang
Computational Biologist,
Calico Life Sciences
email: qsw[at]calicolabs.com
Twitter: @qbw_128
GitHub: @QingboWang
ORCID: 0000-0002-9110-5830
researchmap: qingbowang
google scholar
CV: Eng / JP
Updates:
- 2024/01/16 Starting my new role as a computational biologist at Calico!
- 2023/04/01 Our lab (Okada Lab) has moved to The University of Tokyo!
- 2022/08/22 The Japan COVID-19 Task Force (JCTF) eQTL fine-mapping paper is now online in Nature Communications!
- 2021/10/25 A perspective article (co-authored with Dr. Yukinori Okada) is out in Nature News & Views
- 2021/06/07 The Expression Modifier Score (EMS) paper is now online in Nature Communications!
- 2023/04/01 Our lab (Okada Lab) has moved to The University of Tokyo!
- 2022/08/22 The Japan COVID-19 Task Force (JCTF) eQTL fine-mapping paper is now online in Nature Communications!
- 2021/10/25 A perspective article (co-authored with Dr. Yukinori Okada) is out in Nature News & Views
- 2021/06/07 The Expression Modifier Score (EMS) paper is now online in Nature Communications!
Education
Ph. D., Harvard Medical School
(August 2016-May 2021, Bioinformatics and Integrative Genomics PhD Program, Division of Medical Sciences)B.S., The University of Tokyo
(April 2012-March 2016, Bioinformatics and Systems Biology, Faculty of Science)
Research Interests
Statistical Genetics / Functional Population Genetics / Non-coding Variant Interpretation / Statistical Fine-mapping / Gene expression ...
Wang, Q.S., Edahiro, R., Namkoong, H. et al. The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force. Nat Commun 13, 4830 (2022). https://doi.org/10.1038/s41467-022-32276-2
Okada, Y. and Wang, Q. S. A massive effort links protein-coding gene variants to health. Nature 599.7886, 561-563 (2021). (Perspective Article) https://doi.org/10.1038/d41586-021-02873-0
Wang, Q.S., Kelley, D.R., Ulirsch, J. et al. Leveraging supervised learning for functionally informed fine-mapping of cis-eQTLs identifies an additional 20,913 putative causal eQTLs. Nat Commun 12, 3394 (2021). https://doi.org/10.1038/s41467-021-23134-8
Wang, Q., Pierce-Hoffman, E., Cummings, B.B. et al. Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes. Nat Commun 11, 2539 (2020). https://doi.org/10.1038/s41467-019-12438-5
Karczewski, K.J., Francioli, L.C., Tiao, G. Cummings, B.B., Alföldi, J., Wang, Q. et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 581, 434–443 (2020). https://doi.org/10.1038/s41586-020-2308-7
Research Grants
(as a principal investigator)
(as a principal investigator)
- 2023/04-2030/03 Japan Science and Technology Agency (JST) FOREST (Fusion Oriented REsearch for disruptive Science and Technology) Grant program (JPY 50,000,000 / 7 years)
- 2023/04-2025/03 Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research, Early-Career Scientists <KAKENHI> (JPY 3,600,000 / 2 years)
- 2022/04-2025/03 Agency for Medical Research and Development (AMED) Platform Program for Promotion of Genome Medicine Research Grant (JPY 30,000,000 / 3 years)
- 2022/04-2023/03 The Nakajima Foundation Research Grant (JPY4,000,000)
- 2022/04-2023/03 The Uehara Memorial Foundation Research Grant (JPY2,000,000)
Awards and Fellowships
2016/09-2021/05 The Nakajima Foundation Scholarship (Summary in Japanese)
2020/03 Finalist, MIT Sloan Sports Analytics Conference (SSAC) Hackathon (Presentation link)
2019/12 Molecular Biology Sciety of Japan (MBSJ) Early Career Researchers in Overseas Award
2019/06 Global Grand Prize, Microsoft Vivli Datathon (Manuscript, Press)
2018-2019 Harvard Brain Science Initiative (HBI) Young Scientist Development Award (Article)
2021/12/06 The University of Tokyo, Biological Sciences Seminar Series No. 1388
「Interpreting population genetics data at single variant resolution」
AY 2021, Osaka University
- Clinical Genetics Lectures (Statistical Identification of causal variants / Inferring disease mechanisms through omics)
- Genetics (Introduction to genome data analysis 2)
2020 Fall, Harvard T.H. Chan School of Public Health
- TA, BST227: Introduction to Statistical Genetics
- TA, EPI249: Molecular Biology for Epidemiologists