Experience

Rosaandco

Engineer, PhysioPD

January 2016 – Present | San Carlos, California

  • Rosa creates robust mathematical models that simulate drug effects and trial outcomes. Modeling and Simulation complement traditional experimental methods, enabling unique insights that streamline drug development and regulatory interactions. Rosa’s many long–standing client relationships affirm our core philosophy — provide innovative modeling approaches that are customized to inform our clients’ most critical decisions.

Postdoctoral Research Fellow

September 2014 – Februrary 2016 | Baltimore, Maryland
Popel Systems Biology Lab
Advisor: Dr. Aleksander Popel

  • Triple Negative Breast Cancer Metastasis. Worked on Constructing a multi-scale PKPD compartmental model to investigate breast cancer metastasis in the lung. The model end goal was to be used to examine drug repurposing to inhibit metastasis.
  • Immuno-oncology/Cancer Immunology. Explored using the adaptive immune response to target various forms of cancer. Worked on building a T-Cell signaling QSP model.
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Graduate Research Assistant

August 2013 – May 2014 | Los Alamos, New Mexico
Center for Nonlinear Studies
Mentor: Dr. William Hlavacek

  • A month long collaboration with the Center for Nonlinear Studies (CNLS) extended to a graduate research position. Worked on building and training rules-based models to be used for predicting cell signaling outcomes.
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Doctoral Candidate

August 2010 – July 2014 | Albuquerque, New Mexico
Department of Chemical and Nuclear Engineering
Advisor: Dr. Jeremy Edwards

My dissertation is available for download, here. The main focus of my dissertation was on the ErbB family of receptor tyrosine kinases (RTK).  My work included developing mathematical modeling tools, as well as implementing those tools to make predictions about the ErbB family dynamics and kinetics. I believe by using a cycle of experimentation and predictive modeling the efficiency of research and development can be increased exponentially.

Toolbox:

  • Developed a spatial stochastic model which utilizes Single Particle Tracking (SPT) data to investigate the dynamics and kinetics of proteins on and near the cell membrane.
    • Validated using SPT data.
    • Predicts protein behavior and interactions beyond current experimental capabilities.
    • Novel experimental methods can then be developed based on predictions made by the model.
  • Created a graphical user interface (GUI) for the model to allow both modelers and experimentalist to utilize the program.
  • Developed an algorithm to estimate the size distribution of domains on the cellular membrane.

Spatial Stochastic Model Applications:

  • Uncovering the mechanism of lateral signal propagation through simulated experiments.
  • Discovering the complex dynamics of ErbB2-ErbB3 and ErbB3-ErbB3 interactions and their impact on signal initiation.
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Computer Simulations Engineer

March 2010 – August 2010 | Newark, Delaware
Department of Chemical Engineering
Mentor: Dr. Stanley Sandler

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Undergraduate Research Fellow

March 2008 – August 2010 | Newark, Delaware
Department of Chemical Engineering
Advisor: Dr. Babatunde Ogunnaike

Rosaandco

Mathematical Model Developer

January 2009 – January 2010 | San Carlos, California
Mentor: Dr. Rebecca Baillie

  • Researched wound healing, helped to prepare a grant, and started developing a mathematical model for wound healing.
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Surfactant Development Assistant

August 2007 – December 2007 | Newark, Delaware
Mentor: Errico De Francesco

  • Researched different methods of enhanced oil recovery (EOR), different surfactants for EOR and documented and presented findings.
  • Developed a model for in-situ combustion reactions and documented the developed model and how it is used.