Projects per year
Personal profile
Personal profile
Dr. Dogra is a computational medicine scientist specializing in mathematical modeling of complex diseases and pharmacological interventions. His expertise spans multiscale mechanistic modeling, quantitative systems pharmacology, pharmacometrics, and their integration in interdisciplinary basic and translational research for drug development and treatment optimization. He utilizes multimodal experimental and clinical data to leverage machine learning and develop predictive models to study disease dynamics, support drug development, address drug delivery challenges, and identify optimal treatment strategies for enhanced therapeutic efficacy and safety. His areas of interest are in cancer, infectious diseases, nanomedicine, and advanced drug delivery systems.
Education/Academic qualification
PhD, Mathematical Modeling of Nanoparticle Biodistribution, University of New Mexico
Award Date: May 7 2018
B Pharm, Panjab University
Award Date: Jul 1 2012
External positions
Adjunct Faculty, University of St. Thomas, Houston
Sep 2023 → …
Assistant Professor of Research in Physiology and Biophysics, Weill Cornell Medicine
Sep 1 2021 → …
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Collaborations and top research areas from the last five years
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Artificial intelligence-integrated mechanistic modeling for rational design of nanoparticles to improve organ targeting and safety
Dogra, P. (PI)
9/9/24 → 8/31/28
Project: Federal Funding Agencies
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Physiologically Based Pharmacokinetic Modeling of Silica Nanoparticles
Dogra, P. (PI)
9/6/22 → 6/30/24
Project: Federal Funding Agencies
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Correction to: Insights from a multiscale framework on metabolic rate variation driving glioblastoma multiforme growth and invasion (Communications Engineering, (2024), 3, 1, (176), 10.1038/s44172-024-00319-9)
Amereh, M., Shojaei, S., Seyfoori, A., Walsh, T., Dogra, P., Cristini, V., Nadler, B. & Akbari, M., Mar 29 2025, (E-pub ahead of print) In: Communications engineering. 4, 1, 59.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Rational Design of Safer Inorganic Nanoparticles via Mechanistic Modeling-informed Machine Learning
Dogra, P., Cave, J., Christiono, A., Schiavone, C., Pownall, H., Cristini, V., Staquicini, D., Brinker, C., Campen, M., Wang, Z., Nguyen, H. V. & Noureddine, A., Feb 18 2025, In: Research square.Research output: Contribution to journal › Article
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Deep learning-derived optimal aviation strategies to control pandemics
Rizvi, S., Awasthi, A., Peláez, M. J., Wang, Z., Cristini, V., Van Nguyen, H. & Dogra, P., Oct 2 2024, In: Scientific Reports. 14, 1, p. 22926 22926.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Development of a Multiscale Mechanistic Model for Predicting Tumor Response to Anti-miR-155
Dogra, P., Butner, J. D., Cristini, V. & Wang, Z., 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Gradient-induced instability in tumour spheroids unveils the impact of microenvironmental nutrient changes
Ascione, F., Ferraro, R., Dogra, P., Cristini, V., Guido, S. & Caserta, S., Sep 6 2024, In: Scientific Reports. 14, 1, p. 20837 20837.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations
Prizes
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A multiscale mathematical model to study nanomedicine delivery in solid tumors
Dogra, P. (Recipient) & Wang, Z. (Recipient), Nov 2019
Prize: Other distinction
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Award for Excellence in Peer-reviewed Publication
Dogra, P. (Recipient) & Wang, Z. (Recipient), Sep 2024
Prize: Prize (including medals and awards)
File -
Best Poster Award
Cave, J. (Recipient), Dogra, P. (Recipient), Cristini, V. (Recipient) & Wang, Z. (Recipient), Sep 13 2024
Prize: Prize (including medals and awards)
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File
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Identifying parameters to improve the pharmacokinetics and tumor delivery efficiency of nanomedicine
Dogra, P. (Recipient), Nov 2020
Prize: Other distinction