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…
Michael G. Levin

Michael G. Levin

University of Pennsylvania · Rehabilitation Medicine

Active 2006–2024

h-index34
Citations4.9k
Papers245191 last 5y
Funding
See your match with Michael G. Levin — sign in to PhdFit.Sign in

Research topics

  • Medicine
  • Internal medicine
  • Genetics
  • Biology
  • Cardiology
  • Evolutionary biology
  • Bioinformatics
  • Surgery

Selected publications

  • Large-scale genome-wide association study of coronary artery disease in genetically diverse populations

    Nature Medicine · 2022 · 338 citations

    • Biology
    • Genetics
    • Bioinformatics
  • Genetic Architecture of Abdominal Aortic Aneurysm in the Million Veteran Program

    Circulation · 2020 · 142 citations

    • Medicine
    • Internal medicine
    • Cardiology

    BACKGROUND: Abdominal aortic aneurysm (AAA) is an important cause of cardiovascular mortality; however, its genetic determinants remain incompletely defined. In total, 10 previously identified risk loci explain a small fraction of AAA heritability. METHODS: We performed a genome-wide association study in the Million Veteran Program testing ≈18 million DNA sequence variants with AAA (7642 cases and 172 172 controls) in veterans of European ancestry with independent replication in up to 4972 cases and 99 858 controls. We then used mendelian randomization to examine the causal effects of blood pressure on AAA. We examined the association of AAA risk variants with aneurysms in the lower extremity, cerebral, and iliac arterial beds, and derived a genome-wide polygenic risk score (PRS) to identify a subset of the population at greater risk for disease. RESULTS: ). Using this PRS, we identified a subset of the population with AAA prevalence greater than that observed in screening trials informing current guidelines. CONCLUSIONS: We identify novel AAA genetic associations with therapeutic implications and identify a subset of the population at significantly increased genetic risk of AAA independent of family history. Our data suggest that extending current screening guidelines to include testing to identify those with high polygenic AAA risk, once the cost of genotyping becomes comparable with that of screening ultrasound, would significantly increase the yield of current screening at reasonable cost.

Frequent coauthors

Similar researchers at University of Pennsylvania

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

See your match with Michael G. Levin

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