Biography

I am a Ph.D. candidate in Nuclear Engineering at the University of Tennessee of Knoxville, where I am advised by Jason Hayward and Richard Riedel (at ORNL). I am also pursuing an M.S. in Computer Engineering concurrently, advised by Nicole McFarlane. Prior to graduate school, I received my B.A. in Physics and a minor in Nuclear Engineering at UC Berkeley.

My current research involves developing an imaging system that allows humans to see things they cannot see with their naked eyes. To do this, my detector converts particle radiation (e.g. $\gamma$-ray, x-ray, neutron) into visible light, which is then processed as electrical signals.

My research spans from radiation detection, modeling and simulation, readout electronics, embedded systems, data acquisition software development and data analytics. In the future, I am interested in developing smart sensors and imaging devices by leveraging artificial intelligence.

Interests

  • Data analytics
  • Applied Machine Learning
  • Sensor Development

Education

  • Ph.D. in Nuclear Engineering, 2022

    University of Tennesse, Knoxville

  • M.S. in Computer Engineering, 2021

    University of Tennesse, Knoxville

  • B.A. in Physics, 2016

    University of California, Berkeley

Projects

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Monte Carlo Particle Transport Simulation using GEANT4 Framework

Light transport simulation in imaging system using GEANT4 framework

Neutron Detection using Machine Learning Models

Implementation of kNN, SVM, KMeans clustering to improve neutron identification from noisy data using sklearn

Real-time Data Acquisition using Graphic User Interface (GUI)

Software platform to display back-end data and interface with sensor firmware using PyQt5 and QtDesigner

Experience

 
 
 
 
 

Graduate Research Assistant

Oak Ridge National Laboratory

Aug 2017 – Present Oak Ridge, Tennessee
  • Develop a scalable imaging system with high throughput for high-rate neutron scattering instruments
  • Manage project end-to-end from initial planning, debugging, to performance evaluation of the detector system
  • Collaborate with 5 cross-functional teams and partner with 8 private companies to solve complex engineering problems
  • Demonstrate that the detector prototype to have ≥20 higher throughput than the existing technology used
 
 
 
 
 

Post-baccalaureate Research Associate

Lawrence Berkeley National Laboratory

Feb 2016 – May 2017 Berkeley, California
  • Contributed to a nuclear cross-section NNDC database for accurate nuclear reaction modeling
  • Experimentally measured, analyzed and cross-validated the experimental results with existing data libraries
  • Compiled nuclear data using OCR technology to build a nuclear data SQL database for ease of query
 
 
 
 
 

Undergraduate Research Assistant

University of California, Berkeley

May 2013 – Dec 2015 Berkeley, California
  • Developed a finite-element model to obtain desired strain required for the strain-induced pseudo-magnetic fields in graphene nanobubbles using COMSOL
  • Improvised reproducible transfer of large, clean and continuous domain of single layer graphene to silicon chips by optimizing PDMS dry transfer and PMMA wet transfer techniques.
  • Enhanced existing recipe for growing large-domain atomically-thin crystal graphene films to study the electrical and mechanical properties of graphene

Publications

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Boutique neutrons advance $^{40}$Ar/$^{39}$Ar geochronology

We designed and tested a compact deuteron-deuteron fusion neutron generator for application to $^{40}$Ar/$^{39}$Ar geochronology. The …

Possible evidence of nonstatistical properties in the $^{35}$Cl(n,p)$^{35}$ cross section

The $^{35}$Cl(n,p) and $^{35}$Cl(n,α) cross sections at incident neutron energies between 2.42 - 2.74 MeV, were measured using the …

Design, construction, and characterization of a compact DD neutron generator designed for $^{40}$Ar/$^{39}$Ar geochronology

A next-generation, high-flux DD neutron generator has been designed, commissioned, and characterized, and is now operational in a new …