Our Faculty

Philip Furmanski, Ph.D.

Distinguished Professor

Environmental and Occupational Health Sciences Institute

Ernest Mario School of Pharmacy

Room 215

160 Frelinghuysen Rd Piscataway New Jersey 08854

Work Phone: 848-445-7244 (office) 


Dr. Furmanski’s background is in cancer molecular and cell biology, mechanisms of tumor progression, experimental therapeutics of cancer and other invasive/infectious processes, preclinical and human clinical trials. He has expertise in a number of areas, including pathogenesis of environmental toxin-induced disease, role of macrophages in inflammatory processes related to environmental exposures, health effects of nanoparticles, genetic and epigenetic regulation of cellular functions, among others. As a result of long service to the scientific community on a number of Editorial Boards, grant review committees, advisory boards, he is very active as a mentor for junior faculty and those newly moving into the field (as well as more senior members) in many aspects of the scientific and administrative process, including interactions with industry (big pharma, biotech, materials and devices).

Scholarly Activities

  • Member and Inaugural Chair, Pathology C (Cancer Molecular Pathobiology/CAMP) Study Section, National Institutes of Health, June 2001 – October 2003
  • Member, Advisory Committee for Oncologic Sciences, Center for Scientific Review, National Institutes of Health, January – June 1999 – June 2000
  • Member, National Institutes of Health Reviewers Reserve, July 1993 – July 1998
  • Member, Pathology B Study Section, Division of Research Grants, National Institutes of Health, October 1988 – June 1993
  • Chairman, Cancer Biology and Immunology Contracts Review Committee, National Cancer Institute,   May 1985 – October 1987

Recent Publications

  1. Abratenko, P, An, R, Anthony, J, Arellano, L, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G et al.. First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector. Phys Rev Lett. 2022;128 (15):151801. doi: 10.1103/PhysRevLett.128.151801. PubMed PMID:35499871
  2. Sarosi, PM, Furmanski, J, Reese, WC, Carpenter, DL, Nittoli, MA, Myers, MG, Callen, NM, Neeraj, T. Damage evolution during fracture by correlative microscopy with hyperspectral electron microscopy and laboratory-based microtomography. Sci Adv. 2022;8 (14):eabj6738. doi: 10.1126/sciadv.abj6738. PubMed PMID:35385319 PubMed Central PMC8986107
  3. Abratenko, P, An, R, Anthony, J, Arellano, L, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G et al.. Search for Neutrino-Induced Neutral-Current Δ Radiative Decay in MicroBooNE and a First Test of the MiniBooNE Low Energy Excess under a Single-Photon Hypothesis. Phys Rev Lett. 2022;128 (11):111801. doi: 10.1103/PhysRevLett.128.111801. PubMed PMID:35363017
  4. Abi, B, Acciarri, R, Acero, MA, Adamov, G, Adams, D, Adinolfi, M, Ahmad, Z, Ahmed, J, Alion, T, Monsalve, SA et al.. Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration. Eur Phys J C Part Fields. 2021;81 (4):322. doi: 10.1140/epjc/s10052-021-09007-w. PubMed PMID:34720713 PubMed Central PMC8550327
  5. Abratenko, P, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Basque, V et al.. Search for a Higgs Portal Scalar Decaying to Electron-Positron Pairs in the MicroBooNE Detector. Phys Rev Lett. 2021;127 (15):151803. doi: 10.1103/PhysRevLett.127.151803. PubMed PMID:34678031
  6. Leal, DV, Standing, ASI, Furmanski, AL, Hough, J. Polymorphonuclear leucocyte phagocytic function, γδ T-lymphocytes and testosterone as separate stress-responsive markers of prolonged, high-intensity training programs. Brain Behav Immun Health. 2021;13 :100234. doi: 10.1016/j.bbih.2021.100234. PubMed PMID:34589749 PubMed Central PMC8474673
  7. Acciarri, R, Adams, C, Andreopoulos, C, Asaadi, J, Babicz, M, Backhouse, C, Badgett, W, Bagby, L, Barker, D, Basque, V et al.. Cosmic Ray Background Removal With Deep Neural Networks in SBND. Front Artif Intell. 2021;4 :649917. doi: 10.3389/frai.2021.649917. PubMed PMID:34505055 PubMed Central PMC8421797
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