
Sihan Chen
Astrophysics Researcher

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About me
Sr. Machine Learning Engineer @ Hinge | Ex TikTok E-commerce & Ads
Education

Huazhong University of Science and Technology
2015 - 2019Bachelor of Science - BS PhysicsActivities and Societies: Chairman of the Publicity Department in the Student Union of Physics School Built mathematical foundations through theoretical physics courses and developed programming skills by conducting astrophysics research.

University of California, Berkeley
2018 - 2018Visiting Student Sociology and PsychologyActivities and Societies: T.i.n.Y Chinese Theater Group Did case studies of organizations and society, which inspired me to apply data science in the real world.

University of San Francisco
2019 - 2020Master's degree Data ScienceRelevant courses:1. Relational Database2. Machine Learning3. Deep Learning4. Distributed Computing5. A/B testing6. Data Structure and Algorithms7. Time Series8. Product Analytics...
Experience

Huazhong University of Science and Technology
Jul 2017 - May 2019Astrophysics Researcher1. Analytically Solved the physics model of slim accretion disks and derived the ODEs.2. Simulated the accretion process of slim accretion disks around supermassive blackholes using Scipy, computed 10+ physical properties of the disk and derived the radiation spectrum. Applied the results to tidal disruption events, which was chosen as an outstanding thesis of the year at the school of physics.

Polemaris Advisory Service
Jul 2018 - Aug 2018Data Analyst1. Data Scraping: Built a web-crawler using Scrapy, scraped 10000+ ISO standards for different industries from the ISO official website into the company’s database. 2. Data Processing: Built a Python pipeline with Pandas, automated the excel spreadsheets tasks, which lower the time cost of managing the work progress of employees (saved 5 hours every week).3. Data Visualization: Analyzed data of the tourism industry of Bahrain, resulted in an industry analysis report.4. Built an ERP in Excel by using VBA. Show less

UCSF Medical Center
Oct 2019 - Nov 2020Machine Learning Researcher1. Image Segmentation: Built a 3D Residual U-net to precisely segment metastases from brain MRI images with PyTorch. Evaluated the effects of number, size, and locations of metastases on the accuracy, which has resulted in a scientific conference presentation and a manuscript. The result helps design a state-of-art model.2. Federated Learning: Simulated federated learning for brain metastases segmentation tasks, achieved close results to when training locally. This technique enables the lab to collaboratively learn a shared prediction model while keeping all training data on original hospitals in the future.3. Generative Modeling: Using CycleGAN and Pix2Pix to translate DRR Images to X-ray images. Show less

TikTok
Nov 2020 - Aug 2024- Led the full-cycle development of automated risk recognition, management, and interpretability services at TikTok Shop Mall, driving cross-functional team collaboration to enhance platform governance and customer experience.- Developed and deployed large-scale distributed machine learning systems to effectively govern product quality and combat negative actors on the platform.- Leveraged cutting-edge deep learning technologies to significantly solve cold-start problems for new markets and reduce negative reviews by optimizing data architecture and model development processes. Show less
Machine Learning Engineer - E-commerce Governance
Dec 2022 - Aug 2024Machine Learning Engineer - Business Integrity
Nov 2020 - Dec 2022

Hinge
Aug 2024 - nowSr. Machine Learning EngineerWorking on recommendation system and LLM applications
Licenses & Certifications
- View certificate

Deep Learning Part I
The Data Institute, University of San FranciscoMay 2020 - View certificate

Fundamentals of Deep Learning using PyTorch
The Data Institute, University of San FranciscoOct 2019
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