# Fu Li

> Software Engineer at Pony ai

Location: Fremont, California, United States
Profile: https://flows.cv/fu

Ph.D. researcher specializing in tomographic imaging with expertise in imaging science, and medical image reconstruction, deep learning, acoustic simulation. Skilled in deep learning-based applications, CUDA, C++, and algorithm development.
My homepage https://fuli2bb.github.io/

## Work Experience
### Software Engineer @ Pony.ai
Jan 2025 – Present | Fremont, California, United States
Sensor simulation, Gaussian splatting, Diffusion model.

### Graduate Research Assistant @ University of Illinois Urbana-Champaign
Jan 2019 – Jan 2024 | Urbana-Champaign, Illinois Area
Worked on advanced tomographic imaging in Dr. Anastasio's lab. The major focus of this research included:
1. PDE-constrained differentiable optimization: Full-waveform inversion, time-of-flight tomography.
2. Realistic imaging simulations: Modeling realistic 3D breast phantoms and developing more accurate, physics-based imaging system models.
3. High-performance computing applications: Implementation and optimization for large-scale simulations.

CUDA || C++ || Python || Imaging || Scientific Computing || HPC || Acoustic Simulations || Inverse Problems || Deep Learning

### CT research intern @ Canon Medical Research USA, Inc.
Jan 2024 – Jan 2024 | Chicago, Illinois, United States
Working on photon-counting CT imaging algorithm

### Computer Vision Algorithm Engineer @ PVmed (Perception Vision)
Jan 2016 – Jan 2018 | Guangzhou, Guangdong, China
- Worked with Philips Healthcare, Suzhou, China. Implemented radiotherapy planning prediction software on Philips IntelliSpace Discovery system.
- Worked on automated Nasopharyngeal Carcinoma segmentation.
Image processing || Deep learning || Image registration

### Research Staff @ Sun Yat-Sen University
Jan 2016 – Jan 2017 | Guangzhou, Guangdong, China
- Worked at Computational Medical Imaging Laboratory, School of Data and Computer Science.
- Worked on markov graph model-based automatic radiotherapy planning prediction model with Sun Yat-sen University Cancer Center. Related works have been accepted by RSNA 2017, 2018 and applied for three Chinese patents.


## Education
### PhD student in Bioengineering/Biomedical Engineering
University of Illinois Urbana-Champaign

### PhD student in Imaging Science
Washington University in St. Louis

### Bachelor of Science in Computational Mathematics
Sun Yat-sen University

### High School Attached to Hunan Normal University


## Contact & Social
- LinkedIn: https://linkedin.com/in/lifu2bkop
- Portfolio: https://fuli2bb.github.io/

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Source: https://flows.cv/fu
JSON Resume: https://flows.cv/fu/resume.json
Last updated: 2026-04-11