**Shibiao Wan**

Dr. Shibiao Wan is currently a Bioinformatics Research Scientist at St. Jude Children's Research Hospital, one of the top pediatric cancer hospitals in the US. With more than 12 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >40 articles in prestigious journals such as *Genome Research* (impact factor: 11.093), *Nature Communications* (impact factor: 14.919), *Science Advances* (impact factor: 14.136), *Circulation Research* (impact factor: 15.862), *Briefings in Bioinformatics* (impact factor: 11.622), and *Bioinformatics* (impact factor: 6.937). Dr. Wan is an academic editor for *BioMed Research International* (impact factor: 3.411) and a guest associate editor for a series of high-impact journals including *Frontiers in Cell and Developmental Biology* (impact factor: 6.684), *Frontiers in Pharmacology* (impact factor: 5.810), *Biology* (impact factor: 5.079), and *Frontiers in Genetics* (impact factor: 4.599). He is a TPC member for >20 machine learning-related international conferences including IEEE ICTAI, IEEE IAICT, IEEE IoTaIS, and IEEE SOFTT. Dr. Wan is also a reviewer for >50 prestigious journals including *IEEE TNNLS* (impact factor: 10.451), *Nucleic Acids Research* (impact factor: 16.971), *Genomic Medicine* (impact factor: 11.117) and *Briefings in Bioinformatics* (impact factor: 11.622). He was a recipient of the global peer review awards (top 1%) in "Cross-Field" and "Biology and Biochemistry" in 2019, awarded by Clarivate. Dr. Wan was also an Outstanding Young Alumni Awardee in 2021–2022. Dr. Wan is a member of IEEE, ACM and ISCB.

## **Yiping Fan**

Dr. Yiping Fan is currently the Associated Director of Center for Applied Bioinformatics at St. Jude Children's Research Hospital. He obtained his Bioengineering PhD in 2002 at the University of California at San Diego and MS degree in Biophysics at University of Illinois Urbana Champaign in 1999. His research interests include the development and optimization of bioinformatics methods, biomedical applications of machine learning, the epigenetic regulation of T-cell functions and cancer immunotherapy.

#### **Chunjie Jiang**

Dr. Chunjie Jiang's research focuses on the integrative analysis of multi-omics next-generation sequencing data to reveal the underlying molecular mechanism, identify clinical biomarkers for diagnosis and treatment, and make contributions to precision medicine in the fields of metabolism and cancer biology.

Until now, Dr. Jiang has published 30 papers in *Science, Cell, Nature Neuroscience, Cell Metabolism, Cell Stem Cell,* etc., including two cover stories (Hu and Jiang et al., Cell Stem Cell, 2019; Hu and Jiang et al., Genes & Development, 2022) as co-first author. The study Precision Medicine Approach to Glucocorticoid Therapy (Hu and Jiang et al., Cell Metabolism, 2021, co-first author) has been selected as the 2022 Top 10 Clinical Research Finalists.

Additionally, Dr. Jiang serves as a Guest/Associate/Youth Editor for 8 journals and a reviewer for more than 20 journals.

#### **Shengli Li**

Dr. Shengli Li received his Ph.D. in Medical Systems Biology from Fudan University in 2018 and Postdoctoral training from the University of Texas Health Science center in Houston in 2018–2020. He is a Principal Investigator with the Precision Research Center for Refractory Disease at Shanghai General Hospital affiliated to Shanghai Jiao Tong University School of Medicine. Shengli is a computational biologist with expertise in human disease genetics, including cancer and cardiovascular diseases. His research focuses on the integrative utilization of cutting-edge computational biology algorithms and molecular experimental technologies to reveal systematical changes and functional factors in human disease progression, disease microenvironment and response to drug treatment.
