Resume

Industry & Research Experience

Musket Corp.

Data Scientist
Houston, TX | Sep 2024 - Present

  • Data engineering and machine learning for petroleum commodities analytics and quantitative trading research, including time-series forecasting, reinforcement learning, and LLM-assisted pipelines.

Alphatec Spine

Senior Data Scientist
San Diego, CA | Mar 2024 - Sep 2024

  • Developed computer vision and deep learning components for medical imaging workflows supporting surgical planning and navigation.
  • Designed experimental protocols and fluoroscopic X-ray calibration devices, and conducted cadaveric experiments to evaluate CT-fluoro registration accuracy.
  • Collaborated with cross-functional stakeholders to define evaluation protocols and improve model robustness for deployment constraints.

Northwestern Medicine / Northwestern University

Research Associate (Clinical Research, Radiology)
Chicago, IL | Aug 2021 - Mar 2024

  • Built AI pipelines for fluoroscopic X-ray and cone-beam X-ray pose estimation, digital subtraction angiography, external ventricular drain planning, and probabilistic prediction of thrombectomy outcomes.
  • Developed robust imaging ML methods, including masked neural radiance fields and neural tuned tomography, for single-view pose estimation.
  • Worked closely with neurointerventional clinicians and multi-site registry data (NVQI-QOD) to develop clinically interpretable prediction models.

Massachusetts General Hospital / Harvard Medical School

Postdoctoral Research Fellow
Boston, MA | Aug 2018 - Aug 2021

  • Developed manual and AI-assisted 3D/2D image registration software for a dual-plane fluoroscopic imaging system to quantify in-vivo joint motion.
  • Proposed transfer-learning approaches using simulated radiographs (raycasting / DRR-style rendering) to improve landmark detection and co-registration.
  • Built statistical shape models (GPR / PCA) for pre-surgical planning, including shape reconstruction and implant positioning.

SUNY at Binghamton

Research Assistant (Biomechanics & Implants)
Binghamton, NY | Aug 2013 - Aug 2018

  • Investigated spine biomechanics and designed novel spinal implants using simulation, multi-objective optimization, 3D printing, and ASTM mechanical testing.

Education

  • University of Illinois Urbana-Champaign, Urbana, IL
    M.S. in Computer Science (Data Science & Machine Learning), 2023 - Present
  • State University of New York (SUNY) at Binghamton, Binghamton, NY
    Ph.D. in Mechanical Engineering (Computational Biomechanics), 2013 - 2018
  • Harbin Institute of Technology, Harbin, China
    M.S. in Mechanical Engineering (Computer Numerical Control), 2009 - 2011
  • Harbin Institute of Technology, Harbin, China
    B.S. in Mechanical Design, Manufacturing and Automation, 2005 - 2009

Core Technical Skills

  • Medical Imaging & Computer Vision: 3D/2D registration, pose estimation, image segmentation, angiography processing, DRR and ray-casting simulation
  • Deep Learning: PyTorch, TensorFlow, CNN, RNN, Transformer
  • Optimization & Machine Learning: Differentiable optimization, reinforcement learning, probabilistic modeling, Gaussian process regression, PCA / statistical shape modeling
  • Software: Python, MATLAB, C/C++, Linux, Docker, Git, SQL