Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…

Traci Green

Brown University · Environmental Health Sciences

Active 2002–2024

h-index69
Citations16.4k
Papers517203 last 5y
Funding$54.0M2 active
See your match with Traci Green — sign in to PhdFit.Sign in

Research topics

  • Medicine
  • Pharmacology
  • Medical emergency
  • Anesthesia
  • Virology
  • Nursing
  • Business
  • Family medicine
  • Intensive care medicine
  • Environmental health
  • Psychiatry
  • Social psychology
  • Psychology

Selected publications

  • An overdose surge will compound the COVID-19 pandemic if urgent action is not taken

    Nature Medicine · 2020 · 124 citations

    • Medicine
    • Medical emergency
    • Intensive care medicine
  • An assessment of the limits of detection, sensitivity and specificity of three devices for public health-based drug checking of fentanyl in street-acquired samples

    International Journal of Drug Policy · 2020 · 207 citations

    1st authorCorresponding
    • Medicine
    • Anesthesia
    • Pharmacology

    BACKGROUND: Fentanyl has caused rapid increases in US and Canadian overdose deaths, yet its presence in illicit drugs is often unknown to consumers. This study examined the validity in identifying the presence of fentanyl of three portable devices that could be used in providing drug checking services and drug supply surveillance: fentanyl test strips, a hand-held Raman Spectrometer, and a desktop Fourier-Transform Infrared Spectrometer. METHODS: In Fall 2017, we first undertook an assessment of the limits of detection for fentanyl, then tested the three devices' sensitivity and specificity in distinguishing fentanyl in street-acquired drug samples. Utilizing test replicates of standard fentanyl reference material over a range of increasingly lower concentrations, we determined the lowest concentration reliably detected. To establish the sensitivity and specificity for fentanyl, 210 samples (106 fentanyl-positive, 104 fentanyl-negative) previously submitted by law enforcement entities to forensic laboratories in Baltimore, Maryland, and Providence, Rhode Island, were tested using the devices. All sample testing followed parallel and standardized protocols in the two labs. RESULTS: The lowest limit of detection (0.100 mcg/mL), false negative (3.7%), and false positive rate (9.6%) was found for fentanyl test strips, which also correctly detected two fentanyl analogs (acetyl fentanyl and furanyl fentanyl) alone or in the presence of another drug, in both powder and pill forms. While less sensitive and specific for fentanyl, the other devices conveyed additional relevant information including the percentage of fentanyl and presence of cutting agents and other drugs. CONCLUSION: Devices for fentanyl drug checking are available and valid. Drug checking services and drug supply surveillance should be considered and researched as part of public health responses to the opioid overdose crisis.

  • The protective effect of trusted dealers against opioid overdose in the U.S.

    International Journal of Drug Policy · 2020 · 87 citations

    Senior authorCorresponding
    • Medicine
    • Psychiatry
    • Family medicine

Recent grants

Frequent coauthors

Education

  • Ph.D., Chronic Disease Epidemiology

    Yale University School of Public Health

    2009
  • M.Sc., Epidemiology & Biostatistics

    McGill University

    2002
  • B.A., International Relations

    Tufts University

    1998

Similar researchers at Brown University

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Traci Green

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup