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