Qingbo Seiha Wang

Updates:

- 2024/09/24 The Japan COVID-19 Task Force (JCTF) pQTL fine-mapping paper is now online in Nature Genetics!
- 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!

 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 ...

Selected Publications
(Full list in Google Scholar)

1. Wang, Q.S., Hasegawa, T., Namkoong, H. et al. Statistically and functionally fine-mapped blood eQTLs and pQTLs from 1,405 humans reveal distinct regulation patterns and disease relevance. Nat Genet (2024). https://doi.org/10.1038/s41588-024-01896-3

2. 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

3. 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 

4. 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

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)

- 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) 

Teaching Experiences
(Full list available in my CV)

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 

Contact: qsw[at]calicolabs.com