Hello! My name is

Caroline Iturbe Larkin

Computational Biology PhD Candidate Dog Mom

About Me
About

Let me introduce myself.

Profile Picture

My name is Caroline Larkin and I am currently a PhD candidate in the Carnegie Mellon University and University of Pittsburgh Joint PhD Program in Computational Biology.

Research Interests

  • Systems Biology Mechanistic Modeling

    Model Calibration

    Sensitivity Analysis

    Model Prediction
  • Machine Learning Dynamic Model Fitting

    Noisy Data Processing and Analysis

    Feature Selection

    Ensemble Regression Methods
  • Molecular Virology Alphaviruses

    Intracellular Replication Dynamics

    Type I interferon induction

    Viral Immune Antagonism

Programming Skills

  • Expert
    Python
  • Experienced
    Version Control (Git)
  • Proficient
    Matlab
  • Well-acquainted
    R
  • Well-acquainted
    SQL
  • Well-acquainted
    LaTeX

  • Familiar
    C++
  • Novice
    HTML, CSS, JS
Resume

More of my credentials.

Research Experience

Graduate Research Assistant

August 2020 - Present

University of Pittsburgh

Advisor: Dr. James Faeder
  • Developing a mechanistic model of alphavirus replication in mammalian cells
  • Using various modeling approaches to model Type I interferon induction in the host-cell and resulting immune cell recruitment
  • Applying Bayesian estimation methods to parameterize mathematical models with temporal experimental data

Graduate Research Assistant

November 2019 - August 2020

Carnegie Mellon University

Advisor: Dr. Robert Murphy
  • Assessed performance of a computational framework that automatically processes 3-D confocal fluorescent microscopy images of T cell costimulation into morphologically-standardized templates
  • Extended and evaluated a separate computational framework that automatically infers spatio-dynamic relations between intracellular proteins during T cell costimulation from the standardized templates of the previous framework

Undergraduate Research Assistant

Spring 2016 - Summer 2019

University of Maryland, Baltimore County

Advisor: Dr. Daniel Lobo
  • Designed a mathematical framework to simulate tumor heterogeneity dynamics
  • Developed a computational method to reverse-engineer sub-clonal dynamic models from experimental data as well as find optimal treatment targets
  • Created a methodology to analyze and validate inferred models

Amgen Scholar

Summer 2018

Massachussetts Institute of Technology

Advisor: Dr. Douglas Lauffenberger
  • Identified intercellular communication discrepancies between tumors with varying immunotherapeutic response
  • Developed a computational pipeline to process and analyze single-cell RNA-seq data using various statistical learning techniques

Education

Doctor of Philosophy

Fall 2019 - Present

University of Pittsburgh - Carnegie Mellon University

Major: Computational Biology
GPA: 3.81

Bachelor of Science

Fall 2014 - Winter 2018

University of Maryland, Baltimore County

Major: Computational Biology
Minor: Computer Science
GPA: 3.92

High School Diploma

Fall 2010 - Spring 2014

Thomas S. Wootton High School

GPA: 3.90
Projects

SECTION UNDER CONSTRUCTION

Contact

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Where to find me

Dept. of Computational and Systems Biology
University of Pittsburgh
Pittsburgh, PA, USA

Email Me At

caroline.larkin@pitt.edu
clarkin.work@gmail.com

Call Me At

Phone: (+1) 240-277-1532