Natarajan Ganesan

Title
Assistant Professor & Assistant Director, Educational Research
Department
Basic Sciences (Biomedical and Anatomical)
Campus
Arkansas
Area(s) of Expertise
Molecular Biophysics, Cancer Research, Bio-IT and Health-IT
Industry Credentials
Ph.D., M.B.A.
Joined New York Tech
2023

Natarajan Ganesan specializes in molecular biophysics, cancer research, and bioinformatics. Recently, Ganesan has been intrigued by the efficient utilization of large language models (LLMs) for data interpretation and summarization. Beyond his professional endeavors, he is passionate about amateur astronomy and astrophotography, exploring the wonders of the cosmos through observation and photography. Ganesan holds a Ph.D. in Biomedical Genetics from the University of Madras, Chennai, where he was honored with the prestigious DAAD fellowship. Additionally, he possesses an M.B.A. from Georgetown University.

Recent Projects and Research

Nucleic Acids Research:

The focus here lies in understanding DNA-ligand interactions, particularly their implications in anti-tumor activities. Ganesan utilizes various spectroscopic methods and bioanalytical instrumentation to shed light on their functional roles in cellular processes and disease mechanisms. Additionally, he has developed rapid methods for studying helix-coil transitions in DNA.

Cancer Research:

In this field, Ganesan delves into cancer genomics, analyzing somatic and germline variants using next-generation sequencing (NGS) data. His goal is to identify new biomarkers and therapeutic targets for precision medicine interventions.

Bioinformatics and Machine Learning:

Ganesan explores the integration of generative and large language models into existing knowledge bases to enhance data interpretation and summarization. He aims to provide more accurate insights into complex biological datasets.

Notable Contributions in Bio-IT:

Ganesan is proud to have developed Sequerome, a web-based Sequence Profiling Tool, and spearheaded CancerStop, a comprehensive reference portal for researchers, physicians, and the public. Both platforms have received recognition in prominent publications and press releases.

Selected Publications

  1. "Will AI Hasten a Dystopian Healthcare Landscape?" (2023) BMJ Blog | Medical Humanities. BMJ, 29 August.
  2. Gopalaswamy R, Ganesan N, Velmurugan K, Aravindhan V, Subbian S. The Strange Case of BCG and COVID-19: The Verdict Is Still up in the Air. Vaccines (Basel). 2020 Oct 16;8(4):612. doi: 10.3390/vaccines8040612. PMID: 33081331; PMCID: PMC7711751.
  3. Ganesan N, Bennett NF, Velauthapillai M, Pattabiraman N, Squier R, Kalyanasundaram B. Web-based interface facilitating sequence-to-structure analysis of BLAST alignment reports. Biotechniques. 2005 Aug;39(2):186, 188. doi: 10.2144/05392BM05. PMID: 16116790.
  4. Ganesan N, Gadre AP, Paranjape M, Currie JF. Gold layer-based dual crosslinking procedure of glucose oxidase with ferrocene monocarboxylic acid provides a stable biosensor. Anal Biochem. 2005 Aug 1;343(1):188-91. doi: 10.1016/j.ab.2005.04.018. PMID: 15961058.
  5. Natarajan G, Malathi R, Holler E. Increased DNA-binding activity of cis-1,1-cyclobutanedicarboxylatodiammineplatinum(II) (carboplatin) in the presence of nucleophiles and human breast cancer MCF-7 cell cytoplasmic extracts: activation theory revisited. Biochem Pharmacol. 1999 Nov 15;58(10):1625-9. doi: 10.1016/s0006-2952(99)00250-6. PMID: 10535754.
  6. Natarajan G, Malathi R, Holler E. Helix-coil transitions in DNA using a pH variation method: case of a melting paradox as a function of ionic strength. Anal Biochem. 1996 May 15;237(1):152-5. doi: 10.1006/abio.1996.0216. PMID: 8660553.

Courses Taught at New York Tech

  • BMS 713 - Research Seminar

Contact Info