Zenghao Gao

Interests

I’m interested in rendering techniques, denoising methods, and artistic style transfer.


Personal Information

E-Mail contact@mikegao.net
Languages English (Fluent), Chinese (Native)
Programming Languages C++, Python (Proficient) Javascript, Java (Intermediate)
Related Coursework The online courses I’ve attended includes:
2016:Stanford CS229 (no grade) / MIT 6.837 (no grade)
2017:Stanford CS231n (no grade) / Coursera DeepLearning.ai 1, 2, 4 (pass)
2018:University Urecht Computer Graphics (no grade) / Coursera DeepLearning.ai 3, 5 (pass)
I also read related textbooks such as PRML and PBRT.
In addition, I attended SIGGRAPH 17’, a computer graphics symposium.

Education

Dates Sept 2019 - May 2022
Institution McGill University
Degree B.Sc. Computer Science

Dates Sept 2015 - May 2019
Institution Choate Rosemary Hall
Degree Secondary Education

Work Experience

Dates June 2018 - July 2018
Employer Chinese University of Hong Kong
Position Research Intern
Responsibilities Working under Prof. Yangsheng Xu,
- I co-authored a paper with Dr. Xingchao Wang on using Generative Adversarial Networks to generate music from image features.
- I assisted the autonomous vehicle research group on their segmentation project.
- My paper is accepted to IEEE ROBIO 2018.

Dates June 2017
Employer Ubisoft Shanghai
Position Brand Assisting Intern
Responsibilities Working with college interns at Ubisoft Shanghai, I
- Conducted research on the focus group and gathered game experience feedbacks
- Wrote an analytics software that predicts game popularity
- Worked on the planning of Ubisoft’s showcase at ChinaJoy 2017

Dates June 2016 - July 2016
Employer Baidu, Inc.
Position Engineering Intern @ Institute of Deep Learning
Responsibilities Working with PH.D. candidates in face recognition team at Baidu’s Lab, I
- Worked on a facial expression detection software
- Developed a diagnostics software for the team to collect bad samples automatically; designed an efficient database structure for logging purposes (Still being used internally at Baidu!)