Ting Chen Email & Phone Number

United States

San Francisco, California, US

Leading a horizontal team of talented machine learning engineer, backend engineer and data engineer to understand Pinterest user behavior/taste/interest/intent in a scalable and timely fashion to improve personalization at Pinterest.

Sunnyvale, CA, US

Lead a team of ~40 talented machine learning engineers to develop modeling based solutions for fraud and abuse defense, including - protecting members from fake accounts, account takeovers and APT,- preventing attackers from conducting scraping, automation and bot activities, - protecting members from abuse (e.g. scam, spam, harassment) across multiple.

Palo Alto, California, US

Lead a team of talented modelers, engineers and NLP experts to apply big data and machine learning techniques to solve high impact business problems in Security and Healthcare, as well as to build engineering scalable data and ML platform.- Chatbot for diagnosis, QA, Search, OCR and other Tencent health AI services on Wechat- Applied ML solutions including.

San Francisco, California, US

Build offline and real time backend services for bug reporting and tech issue tracking.Build machine learning (NLP) based platform for bug report dedup and automatic triaging. Lead a group of talented machine learning experts working on building advanced risk management solutions at Uber. - GPS spoofing detection based on mobile sensor signal analysis and.

I worked with mobile engineers, backend engineers and hardware engineers to build biometric identification and heart disease diagnosis solutions using ECG signal from wristband, based on machine learning and signal processing.Filed 8 patent applications, including:- deep learning based biometric identification- wearable biometric measurement device.

Switzerland 🇨🇭, CH

We built a profiling system which extracts image and statistical features (immune and tumor cell distributions, tumor tissue and normal tissue regions, patient information, etc.) from scanned human cancerous tissue images and patient data. By investigating the correlations between the immune response profiles and patient outcomes, we applied this technique.

Armonk, New York, NY, US

Filed 2 patent applications and published 2 papers.We developed a machine learning based automatic diagnosis system for radiology board exam, from multi-modality medical data (Ultrasound, ECG, clinical text etc.). I built a web-based application for radiology board exam simulation, powered by the following machine learning algorithms (authored and.

Gainesville, Florida, US

Published 6 papers in top conferences and journals. Selected Research Projects: – Image Segmentation and Clinical Data Classification a. Designed and implemented a discriminative spatial regularized image segmentation framework that leverages weak hypotheses’ results via a sparse data combination. b. Developed an image classification framework based on.

Forchheim, DE

Filed 2 patent applications and published 1 paper.We built an automatic low resolution brain MRI scan alignment system for the initial accurate positioning of Siemens MRI scanner. A large variety of image features (Haar etc.) were extracted at the landmark locations of the image and Adaboost was used for feature reduction and landmark detection. The.

Phd, Computer Science, Computer Vision, Machine Learning

Bachelor, Computer Science, Image Analysis