Curriculum Vitae

Where I've been and what I've done


M.Sc., Aerospace Engineering, University of Illinois at Urbana-Champaign, 2018
Thesis: Learning low-dimensional feature dynamics using convolutional recurrent autoencoders
Adviser: Maciej Balajewicz

B.Sc., Aerospace Engineering, University of Illinois at Urbana-Champaign, 2016
Cum Laude, Minor: Computational Science & Engineering


2018 - Present Computer Vision Data Scientist, CCC, Chicago, IL
AI-enabled vehicle collision estimating tools
• Developing deep learning tools that leverage photos and telematics data for vehicle claims automation

2016 - 2018 Graduate Research Assistant, University of Illinois at Urbana-Champaign, Urbana, IL
Data-driven model order reduction
• Developed deep learning based, completely data-driven nonlinear model reduction strategy
• Currently researching applications of deep learning to modeling complex dynamical systems

Summer 2018 Research Intern, Mitsubishi Electric Research Laboratory, Cambridge, MA
Optimal sensor placement for state estimation
• Developed optimal sensor placement algorithm for state estimation of large thermo-fluid systems
• Implemented iterative solvers for large-scale matrix equations used in estimation

Summer 2016 Computational Physics Fellow, Los Alamos National Laboratory, Los Alamos, NM
Quinoa: Adaptive Computational Fluid Dynamics
• Contributed to the development of Quinoa, a fully asynchronous distributed-memory parallel finite element solver using unstructured grids
• Implemented load-balancing capabilities on the finite element solver using the Charm++ runtime system

2015 - 2016 Blue Waters Research Intern, National Center for Supercomputing Applications, Urbana, IL
Computational bio-fluid mechanics
• Utilized the petascale supercomputer, Blue Waters, to investigate and develop residual-based turbulence models applicable to arterial blood flow
• Designed and ran simulations investigating intracranial blood flow during +Gz accelerations

2014 - 2016 Ronald E. McNair Scholar, University of Illinois at Urbana-Champaign, Urbana, IL
Computational aerodynamics
• Proposed an independent research project on the aerodynamics of vertical axis wind turbines
• Developed a vortex code to study rotating airfoils under changing tip-speed ratios and blade pitch angles

Honors & Awards

2018-2020 Alfred P. Sloan MPhD Scholar, UIUC/Alfred P. Sloan Foundation (declined offer)
2016-2018 SURGE Fellowship, UIUC College of Engineering
2014-2016 Ronald E. McNair Scholar, UIUC
2015-2016 Blue Waters Student Fellowship, National Center for Supercomputing Applications
2013-2016 Edmund J. James Scholar, UIUC College of Engineering
2014, 2015 Dean's List, UIUC College of Engineering
2012-2016 Presidents' Award Program Honors Scholarship, UIUC
2015 David Kuck Computational Science & Engineering Award, UIUC
2015 La Casa Latina Outstanding Scholar Award, UIUC


Fall 2016 Teaching Assistant, CSE High Performance Computing Workshop, NCSA
2013-2014 Mathematics Tutor, Office of Minority Student Affairs, UIUC

Software Experience

Languages & Frameworks
• Python, C/C++, MATLAB, Fortran 90

Machine Learning
• TensorFlow, Keras, Scikit-learn, AWS SageMaker

Big Data
• PySpark

High Performance Computing
• OpenMP, MPI, CUDA, Charm++

nMOR: Neural Model Order Reduction
• Deep learning based package for nonlinear model order reduction written in Python and Tensorflow, available on Github.

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