Udhaya Kumar Siva Kumar, Ph.D.

Postdoctoral Associate

Email

udhayakumar.sivakumar@bcm.edu

Positions

Postdoctoral Associate: Medicine - Endocrinology
Baylor College of Medicine

Education

PhD from Vellore Institute of Technology (VIT): 07/2022 - Vellore, Tamil Nadu, India

Honors & Awards

Single-nuclei multi-omics dissection of exercise effects in human skeletal muscle: "Frank Belton Kimmel and Sandra Kimmel Endowed Post-Doctoral Trainee Fellowship for Diabetes Research"; Baylor College of Medicine (07/2023 - 06/2025)

Indian Ambassador: Bentham Science (01/2020)

Top 2% Scientists 2023 and 2024: My name has been listed in the top 2% of scientists from the Stanford University and Elsevier survey.; Stanford University and Elsevier

ADA Scholar: Selected to ADA Scholars Program (2024-2025).; American Diabetes Association (05/2024)

Senior Research Fellow (SRF): I have been awarded a Senior Research Fellowship (SRF) from Indian Council of Medical Research (ICMR) for the research entitled "Gene network analysis and computational modelling of proteins causing Diabesity" for three years.; Indian Council of Medical Research (ICMR) (06/2019 - 07/2022)

Intergenerational effects of paternal arsenic exposure: Postdoctoral training funded by the Gulf Coast Consortia (GCC) and National Institute of Environmental Health Sciences (NIEHS), T32 ES027801.; Training Program in Precision Environmental Health Sciences (TPEHS) (02/2025 - 01/2027)

Professional Interests

Epigenomic regulation
Diabetes (T2D and T1D)
Endocrinology
Diabesity

Professional Statement

My academic training and research experience have provided me with knowledge and experience from multiple disciplines, including human and molecular genetics, computational biology, and zebrafish models. Whenever possible, I seek technical knowledge on the research areas and solve/optimize the pipelines that help in analyzing the cancer sample of interest. During my Ph.D. tenure, I have explored the differentially expressed genes, dysregulated signaling cascades, biological protein networks, and biomarker identification from various cancer types, and genetic diseases. I have hands-on experience with R programming, bioinformatics tools, basics of Python, molecular techniques, Next Generation Sequencing, single-cell ATAC, single-nuclei and single-cell RNA-Seq analyses. I also created NGS pipelines to analyze the transcriptomics and whole-exome sequencing from cancer patient samples. I applied these computational and wet lab skills for the identification of targeted therapy and molecular biomarkers from ovarian cancer, multiple myeloma, familial hypercholesterolemia, lung adenocarcinoma, Osteosarcoma, and colorectal cancer. My involvement could also be seen from 66 research publications in international peer-reviewed journals and my works have been cited by several researches, indicating the significance of my research (Citations: 1148; h-index: 18; i10-index: 33; Cumulative Impact Factor: 370.80).
Besides, I have worked on colorectal, pancreatic, and lung cancers for the identification of cancer-specific biomarkers and mutations in collaboration with Christian Medical College and Hospital (CMC), Vellore, India, and Sri Ramachandra Institute of Higher Education and Research (SRIHER), Chennai, India. I was always curious about the correlation and connections in multi-omics and functional genomic studies performed on model organisms, cell lines, and the prospect they held for opening new avenues for the betterment of congenital disorders and cancer treatment.

Websites

Google Scholar

Web of Science

Frontiers Loop

ORCiD

ResearchGate

Vidwan Profile

Selected Publications

Analysis of Differentially Expressed Genes and Molecular Pathways in Familial Hypercholesterolemia Involved in Atherosclerosis: A Systematic and Bioinformatics Approach " ;
Integrative Bioinformatics Approaches to Map Potential Novel Genes and Pathways Involved in Ovarian Cancer " ;
Dysregulation of signaling pathways due to differentially expressed genes from the B-cell transcriptomes of systemic lupus erythematosus patients- a bioinformatics approach " ;
Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity " ;
An integrative analysis to distinguish between emphysema (EML) and alpha-1 antitrypsin deficiency-related emphysema (ADL)—A systems biology approach " ;
Comprehensive in silico screening and molecular dynamics studies of missense mutations in Sjogren-Larsson syndrome associated with the ALDH3A2 gene " ;
Computational investigation to identify potent inhibitors of the GTPase-Kirsten RAt sarcoma virus (K-Ras) mutants G12C and G12D " ;
Molecular dynamics, residue network analysis, and cross-correlation matrix to characterize the deleterious missense mutations in GALE causing galactosemia III " ;
Mutational landscape of K-Ras substitutions at 12th position-a systematic molecular dynamics approach " ;
Mutations in ARSB in MPS VI patients in India " ;
Residue interaction networks of K-Ras protein with water molecules identifies the potential role of switch II and P-loop " ;
The Rise and Impact of COVID-19 in India " ;
Whole-exome sequencing analysis of NSCLC reveals the pathogenic missense variants from cancer-associated genes " ;
Jidong Liu, Fang Xiao, Abhinav Choubey, Udhaya Kumar S, Yanxiang Wang, Sungguan Hong, Tingting Yang, Husniye Gul Otlu, Ege Sanem Oturmaz, Emanuele Loro, Yuxiang Sun, Pradip Saha, Tejvir S. Khurana, Li Chen, Xinguo Hou & Zheng Sun. " Muscle Rev-erb controls time-dependent adaptations to chronic exercise in mice " Nat Commun.. 2025 Jul 1; 16 (1)
Pubmed PMID: 40593528.

Projects

Single-nuclei multi-omics dissection of exercise effects in human skeletal muscle: Baylor College of Medicine (07/2023 - 06/2025); BCM Houston; "Frank Belton Kimmel and Sandra Kimmel Endowed Post-Doctoral Trainee Fellowship for Diabetes Research"
Intergenerational effects of paternal arsenic exposure: Precision Environmental Health Sciences (TPEHS) by NIH-NIEHS (02/2025 - 01/2027); Houston; Postdoctoral training funded by the Gulf Coast Consortia (GCC) and the National Institute of Environmental Health Sciences (NIEHS), T32 ES027801.