I am seeking computational and experimental research roles that combine molecular simulation and biophysical experimentation, collaborative teams, and opportunities to advance membrane/protein biophysics or drug-discovery projects. I also have a background in AI training of models for chemistry and STEM fields.
WC
Looking for a job
Warner Carnero
@carnerow
Physical chemist and computational researcher specializing in molecular simulations and drug–protein interactions.
United StatesWhat I'm looking for
I am a physical chemist and computational researcher focused on molecular simulations, free-energy methods, and understanding ligand–protein interactions. My graduate work applies quantum-mechanical calculations, DFT metadynamics, and coarse-grained MD to predict binding affinities and pollutant–membrane/protein interactions.
At Penn I developed and applied FEP workflows for anesthetic ligand libraries, observed reactive byproduct formation at air–lung interfaces with DFT metadynamics, and used multi-microsecond MARTINI simulations to study ion channel and flippase dynamics. I have experience purifying membrane proteins for reconstitution and cryo-EM and integrating statistical and machine-learning approaches to characterize conformational landscapes.
I bring strong computational and experimental foundations from prior Masters and undergraduate research—skillful in Python, GROMACS, CP2K, NAMD, and analysis tools—and a record of mentorship and teaching that supports effective collaboration and communication in research teams.
Experience
Work history, roles, and key accomplishments
Current
Applied quantum-mechanical calculations and free-energy perturbation to predict anesthetic ligand binding affinities and used DFT metadynamics and MARTINI coarse-grained simulations to characterize pollutant-induced chemistry and channel interactions.
Conducted 2 µs MARTINI coarse-grained simulations and statistical modeling to study how lateral tension mismatch alters flippase conformational dynamics and prepared protein samples for cryo-EM reconstitution.
Research Assistant
Montclair State University
Sep 2019 - Aug 2022 (2 years 11 months)
Investigated photoprotective role of MTHF in DNA repair using steady-state, absorption, and laser spectroscopy and performed statistical analyses with bi-exponential decay fitting to quantify chromophore decay times.
Performed computational simulations and developed Python tools to analyze structural fluctuations and Ramachandran-based backbone configurations of designed coiled-coil bundles across solvent environments.
Education
Degrees, certifications, and relevant coursework
University of Pennsylvania
Master of Science, Chemistry
2022 -
Grade: 3.55 GPA
Pursuing an MS in Chemistry with coursework in quantum mechanics, statistical mechanics, chemical dynamics, computational physics and a current GPA of 3.55.
Montclair State University
Bachelor of Science, Chemistry and Mathematics
2019 - 2022
Grade: 3.808 GPA
Activities and societies: Dean's List; LSAMP Scholar
Completed a Bachelor of Science in Chemistry and Mathematics with a 3.808 GPA and coursework including organic chemistry, physical chemistry, calculus, and biochemistry; served as an LSAMP scholar and made the Dean's List.
Johns Hopkins University
Non-Degree (Biophysics coursework), Biophysics
2017 - 2019
Completed non-degree Biophysics coursework including introductory chemistry and calculus while enrolled at Johns Hopkins University.
Availability
Looking for a job
Location
United StatesAuthorized to work in
Job categories
Skills
PythonLinuxGROMACSNAMDVMDFortranMathematicaHTMLJavaPyMOLSnapGeneSpartan 04LaTeXMAPLEJuliaMatlabOriginLabMicrosoft WordExcelOutlookPowerPointAdobe IllustratorAdobe Premiere ProMARTINI Coarse Grained SimulationsGaussian Mixture ModelStatistical Data AnalysisRamachandran AnalysisCoiledDynamicHonoHydrogenMartiniMatterNovelSASTask
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