Education and Experience

2020-… Post-doctoral fellow in Applied Mathematics and Machine Learning. Center for Nonlinear Studies and Information Sciences, Los Alamos National Laboratory, Los Alamos, NM.

2019-2020 Post-doctoral researcher in Applied Mathematics and Cybergenetics. Joint position between Inria and Institut Pasteur in Paris, France.

2014-2019. PhD in Bioengineering. Colorado State University, Fort Collins, CO. Integrating discrete stochastic models and single-cell data.

2010-2014. Bachelor of Biomedical Engineering. University of Delaware, Newark, DE. Minor in Electrical and Computer Engineering. Stochastic modeling of Tat feedbacks in HIV and dynamics of promiscuous binding of transcription factors.

Research Interests

Stochastic Gene Regulation, Optimal Experiment Design, Uncertainty Quantification, Complex Systems, Bioimage Analysis, Control, Synthetic Biology, Single-Cell Experiments, Single-Cell Data Analysis, Computational Modeling, Parameter Estimation.

Teaching

UQ-Bio Summer School, project organizer and lecturer. See the UQ-bio website for my lectures on image analysis and introduction to inference. Colab notebooks for each lecture are available here and here. I also organized a hands on project for the undergraduate students. 2021.

Q-Bio Summer School, project lead/instructor, 2016-2017.

Introduction to MATLAB for Chemical Engineers. Colorado State University, Fall 2017.

Awards and Fellowships

2020-… CNLS Fellow Los Alamos National Laboratory, Los Alamos, NM. Postdoctoral fellow in the (Center for Nonlinear Studies)[https://cnls.lanl.gov/External/] at Los Alamos National Laboratory.

2017-2018 VPR Fellow Colorado State University, Fort Collins, CO. Fellowship earned by competing in University-wide scientific communication competition sponsored by the Office of the Vice President for Research at CSU. You can see my presentation here.

2015-2016 GAUSSI Fellow Colorado State University, Fort Collins, CO. An NSF sponsored program for tackling interdisciplinary challenges in the context of large biological data sets. Program website.

2017 Outstanding Graduate Student Award School of Biomedical Engineering, Fort Collins, CO.

Selected Presentations

  • 2021
    • Computational Design and Control of Stochastic Gene Expression in Single Cells. Univeristy of New Mexico Mechanical Engineering Seminar. (Invited seminar).
    • Fisher Information for Stochastic Gene Expression and Cellular Timing Distributions. Gordon Conference on Stochastic Physics in Biology. Ventura, CA. (Poster).
  • 2020
    • Closing the Loop Between Stochastic Biochemical Models and Single-Cell Data. Advanced Network Science Institute, Los Alamos National Laboratory. Los Alamos, NM. (invited talk).
    • Using Optogenetics to Characterize Synthetic Biological Circuits. Biophysical Society Meeting. San Diego, CA. (Poster).
  • 2019
    • Optimal Design of Single-Cell Experiments in S. cerevisiae. BIOSS Meeting. Paris, FR. (contributed talk).
    • Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments. Cosy-Bio Meeting. Valencia, ES. (contributed talk).
    • Finite-State Projection Based Fisher Information. Gordon Conference on Stochastic Physics in Biology. Ventura, CA. (Poster).
  • 2018
    • Fisher Information for the Design of Single-Cell Experiments with Discrete Stochastic Models. Annual meeting for the Society of Industrial and Applied Mathematics. Portland, OR. (contributed talk,session chair).
    • Designing Single-Cell Experiments with Discrete Stochastic Models. Biophysical Society Meeting. San Francisco, CA. (contributed talk).
  • 2017
    • Model-Driven Design of Single-Cell Experiments. Biomedical Engineering Society Meeting. Phoenix, AZ. (Poster).
    • Using Stochastic Models to Extend the Color Palette of Single-Molecule Microscopy. q-bio Summer Meeting. Rutgers University, New Brunswick, New Jersey. (contributed talk, co-presentation with Michael May)
    • Model-driven Design of Single-Cell Experiments. q-bio Summer Meeting. Rutgers University, New Brunswick, New Jersey. (contributed talk, co-presentation with Michael May)
    • Systematic Integration of Single-Cell Experiments and Discrete Stochastic Models. Gordon Conference on Stochastic Physics in Biology. Ventura, CA. (Poster).
  • 2016
    • Using Single-Cell Fluctuations to Aid Experimental Design. ISCB Rocky Mountain Bioinformatics Conference. Snowmass, CO. (contributed talk).
    • Data-Driven Reduction and Identification of Stochastic Gene Regulatory Models. q-bio Summer Meeting. Vanderbilt University, Nashville, TN. (Poster).