Postdoctoral Fellow, Thomas Jefferson University, Philadelphia, PA - 2023
PhD, National Center for Cell Science, Savitribai Phule University, Pune, Maharashtra, India - 2018
MS, School of Biotechnology, Banaras Hindu University, Varanasi, Uttar Pradesh, India - 2011
Ankita Srivastava, PhD
Research Assistant Professor
Contact Information
1020 Locust Street
314C Jefferson Alumni Hall
Philadelphia, PA 19107
Research Assistant Professor
Education
Publications
- Dynamic rewiring of microRNA networks in the brainstem autonomic control circuits during hypertension development in the female spontaneously hypertensive rat
- Editorial: Wearable technology: the new ornament of network physiology
- Integrated transcriptomics and histopathology approach identifies a subset of rejected donor livers with potential suitability for transplantation
- Neuromodulatory co-expression in cardiac vagal motor neurons of the dorsal motor nucleus of the vagus
- Dynamic dysregulation of transcriptomic networks in brainstem autonomic nuclei during hypertension development in the female spontaneously hypertensive rat
Awards
- 2024 Emerging Technologies Grant Award, Azenta Life Sciences
- 2024 American Physiological Society APSselect paper in Physiological Genomics
- 2022 Outstanding Poster Presentation Award, Postdoc Research Symposium, Thomas Jefferson University
- 2022 Best Postdoc Mentor Award, Jefferson Postdoc Research Symposium, Thomas Jefferson University
- 2013 Senior Research Fellowship, Council of Scientific and Industrial Research, India
- 2010 Jawaharlal Nehru University Biotechnology Fellowship for MSc Program, India
- 2010 Junior Research Fellowship, Council of Scientific and Industrial Research, India
Research & Clinical Interests
Translational Pathobiology through Omics & AI-Driven Histopathology
We pursue translational research in end-stage liver disease, liver transplantation, and prostate cancer. A key goal is to uncover disease mechanisms and improve diagnosis, prognosis, and clinical decision-making by translating high-resolution molecular and histopathological data into actionable patient-specific insights. Our interdisciplinary approach integrates spatial transcriptomics, histopathology, AI-based image analysis, and machine learning towards advancing precision medicine. We are pursuing collaborative projects on:
- integrated pathomics and transcriptomics towards developing therapy for alcohol- associated liver disease
- enhancing liver transplantation by providing data-driven prognostic tools for increased utilization of donor livers
- deciphering morpho-molecular mechanisms driving tumor aggressiveness in prostate cancer