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…
Brian Kirby

Brian Kirby

Verified

Cornell University · Aerospace Engineering

Active 1987–2024

h-index60
Citations12.0k
Papers30149 last 5y
Funding$1.3M
See your match with Brian Kirby — sign in to PhdFit.Sign in

Research topics

  • Biology
  • Physics
  • Particle physics
  • Medicine
  • Astronomy
  • Cancer research
  • Nuclear physics
  • Biochemistry
  • Chemistry
  • Molecular biology
  • Internal medicine

Selected publications

  • Supplementary Figure 1 from Expression of AR-V7 and ARv<sup>567es</sup> in Circulating Tumor Cells Correlates with Outcomes to Taxane Therapy in Men with Metastatic Prostate Cancer Treated in TAXYNERGY

    2023

    • Molecular biology
    • Cancer research
    • Chemistry

    <p>Assay sensitivity in 22RV1 prostate cancer cells spiked-in healthy donor blood run through the GEDI device. AR-FL (blue) and AR-V7 (red) mRNA expression (#copies per sample) was determined by ddPCR in varying amounts of 22RV1 cells in the presence of healthy donor blood run through the GEDI device. The assay, reliably and reproducibly detects both transcripts in single spiked-in cells. The table below the graph shows the raw data (copy number) for each transcript per condition. Healthy donor blood PBMCs alone were used as a control. AR, androgen receptor; ddPCR, droplet digital polymerase chain reaction; FL, full length; GEDI, geometrically enhanced differential immunocapture; PBMC, peripheral blood mononuclear cell.</p>

  • Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics

    arXiv (Cornell University) · 2020 · 78 citations

    • Physics
    • Particle physics
    • Astronomy

    The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay -- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our universe, its current state, and its eventual fate. DUNE is an international world-class experiment dedicated to addressing these questions as it searches for leptonic charge-parity symmetry violation, stands ready to capture supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector technical design report (TDR) describes the DUNE physics program and the technical designs of the single- and dual-phase DUNE liquid argon TPC far detector modules. Volume II of this TDR, DUNE Physics, describes the array of identified scientific opportunities and key goals. Crucially, we also report our best current understanding of the capability of DUNE to realize these goals, along with the detailed arguments and investigations on which this understanding is based. This TDR volume documents the scientific basis underlying the conception and design of the LBNF/DUNE experimental configurations. As a result, the description of DUNE's experimental capabilities constitutes the bulk of the document. Key linkages between requirements for successful execution of the physics program and primary specifications of the experimental configurations are drawn and summarized. This document also serves a wider purpose as a statement on the scientific potential of DUNE as a central component within a global program of frontier theoretical and experimental particle physics research. Thus, the presentation also aims to serve as a resource for the particle physics community at large.

Recent grants

Frequent coauthors

  • Paraskevi Giannakakou

    Weill Cornell Medicine

    53 shared
  • David M. Nanus

    New York Hospital Queens

    49 shared
  • Scott T. Tagawa

    Cornell University

    43 shared
  • Neil Armstrong

    University of Exeter

    34 shared
  • Timothy B. Lannin

    Northeastern University

    32 shared
  • Erica D. Pratt

    University of Minnesota

    31 shared
  • Giuseppe Galletti

    Weill Cornell Medicine

    31 shared
  • Ada Gjyrezi

    Cornell University

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

See your match with Brian Kirby

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