About

Jiantao Wu is a highly experienced Director of Machine Learning at Hyperscience, a company that helps global organizations and governments modernize their mission-critical processes and operations. With over 9 years of relevant experience, Jiantao has a strong background in ML, computer vision, NLP, and mobile development, making him a valuable asset to any team. Before joining Hyperscience, Jiantao worked as a Software Engineering Manager at Facebook, where he led the Machine Learning team for Instagram Well-being. He was responsible for building computer vision and NLP machine learning models to fight spam, nudity, and other policy-violating content on the Instagram platform. Prior to Facebook, Jiantao worked as a Software Engineer at Yelp, where he was part of the advertisement targeting group. He built a logistic regression model and training testing pipeline to accurately and efficiently predict the click-through rate (CTR) of online advertisements on Yelp.com and its mobile platform apps. He also analyzed large-scale user logs with statistical and machine learning methods to identify and model useful features that could improve the CTR prediction accuracy. Jiantao holds a Ph.D. in Bioinformatics and Computational Biology from Boston College, an M.S. in Biotechnology from the University of California, and a B.S. in Biotechnology from Shanghai Jiao Tong University. He has a strong technical background in ML, computer vision, NLP, Android, iOS, mobile development, and software engineering. He is also proficient in various programming languages and tools, including Python, Java, C++, and TensorFlow. Jiantao is a results-driven professional who is passionate about using technology to solve complex problems. He has a proven track record of delivering high-quality solutions that meet the needs of his clients. He is a team player who is always willing to go the extra mile to ensure the success of his projects.