Laura Watkins

Curriculum Vitae

Education

University of Chicago December 2021

Ph.D. Physical Chemistry (Computational)

  • Fellowship: Department of Energy Computational Sciences Graduate Fellowship. (Prestigious national fellowship for top computational graduate students, awarded to ~2% of applicants.)
  • Advisor: Gregory Voth
  • Washington University in St. Louis May 2015

    B.A. in Chemistry

  • GPA: 3.89; Honors: maga cum laude
  • Experience

    Kemper Insurance

    Data Scientist II 2022-present

  • Builds Natural Langauage Processing (NLP) models in TensorFlow to predicte car accident characteristics based on free-form descriptions, as part of first team in the department to develop and execute NLP capabilties
  • Develops generalized linear models (GLM) auto insurance pricing models under strict regulatory standards, additionally expands these models for internal use to better understand customer segmentations
  • Contributes to team code base, including a Python class to automate the creation of excel spreadsheets with hundreds of tabs and complex figures
  • University of Chicago, Department of Chemistry

    Graduate Researcher Fall 2015-2021

  • Researched mechanism of proton transport in influenza A M2 to provide insight for drug-design efforts
  • Designed and managed independent research projects, communicated results to non-technical experimentalists
  • Exploratory analysis of ~1 TB simulation data, developed new approach for studying protein changes correlated with proton position, resulting in two publications in top chemistry journal
  • Wrote and assisted in submission of competitve NIH grants worth ~$1 million
  • Teaching Assistant for General Chemistry 2015-2016

  • Led weekly discussion sections, laboratory experiments, and office hours for three quarters
  • Received Nathan Sugarman Teaching Award given to top 3 TAs
  • Los Alamos National Laboratory

    Visiting Research Assistant Fall 2017

  • Used DBSCAN clustering and SVM classification to develop extension to Accelerated Molecular Dynamics methods, written as a Python module using scikit-learn
  • Leadership Roles

    Co-chair of Chemistry Department Culture Committee 2018-2019

    University of Chicago

  • Crafted vision and set direction for committee and planned biweekly meetings
  • Resulted in department Value Statement, Mentorship Guidelines, and critical policy improvements
  • Chemistry Department Ombudsperson 2018-2019

    University of Chicago

  • Worked with other Ombudspersons as intermediary between students and department Chair
  • Organized department student mentorship program, led new initiatives, disscussed ideas with Chair
  • Physical Sciences Divison Social Committee Secretary 2018

    University of Chicago

  • Comanaged approval of dozens of events, created bylaws, improved infrastructure to serve over 1000 students
  • Responsible for all communication with the division student body
  • Technical Skills and Coursework
  • Programming: Python 8+ years (NumPy, Pandas, TensorFlow, H2O, Matplotlib, Scikit-learn), C/C++, Bash, MPI
  • Machine Learning: GLMs, neural networks, NLP, SVM, clustering
  • Coursework: Machine Learning, Algorithms, Advanced Statistical Mechanics, High Performance Computing, Numerical Analysis for Statistics and Applied Mathematics, Stochastic Simulation, Quantum Mechanics
  • Publications

    Kratochvil, H.T., Watkins, L.C., Mravic, M., et al. Transient Water Wires Mediate Selective Proton Transport in Designed Channel Proteins. Nature Chemistry, in press (2023) biorxiv DOI:10.1101/2022.03.28.485852

    Watkins, L.C., DeGrado, W. F., Voth, G. A. Multiscale Simulation of an Influenza A M2 Channel Mutant Reveals Key Features of Its Markedly Different Proton Transport Behavior. J. Am. Chem. Soc. (2022) DOI:10.1021/jacs.1c09281

    Watkins, L.C., DeGrado, W. F., Voth, G. A. Influenza A M2 Inhibitor Binding Understood through Mechanisms of Excess Proton Stabilization and Channel Dynamics J. Am. Chem. Soc. (2020) DOI:10.1021/jacs.0c06419

    Watkins, L.C., Liang, R., Swanson, J. M. J., DeGrado, W. F., Voth, G. A. Proton-Induced Conformational and Hydration Dynamics in the Influenza A M2 Channel. J. Am. Chem. Soc. (2019) DOI:10.1021/jacs.9b05136

    Honors and Awards
  • Department of Energy Computational Science Graduate Fellowship (2016-2020)
  • The Joan Shiu Chemistry Department Student Service Award, University of Chicago (2019)
  • The Edith Barnard Memorial Award in Chemistry for Service to Others, University of Chicago (2019)
  • Exceptional Poster Award FASEB Conference on Molecular Biophysics of Membranes (2018)
  • Nathan Sugarman Teaching Award in General Chemistry, University of Chicago (2016)
  • Freud Scholarship, University of Chicago (2015)
  • Elaine K. Bernstein Women in Science Award, University of Chicago (2015)