Summary
Tianyu Wang is an Assistant Professor and experienced ML/AI practitioner with 11 years applying machine learning, deep learning, and data engineering to cybersecurity, finance, and music domains. He teaches and mentors graduate and undergraduate students while publishing research on deep learning, anomaly detection, and domain-generation algorithm (DGA) detection. Prior industry roles include building real-time network log analytics and big-data pipelines at IBM and hands-on cybersecurity, virtualization, and intrusion-detection environments at Pace and Mount Sinai. He combines rigorous academic training (PhD and MS in Computer Science) with practical experience deploying production ML systems using TensorFlow, Spark, Kafka, Neo4j and Elasticsearch. Comfortable at the intersection of research and ops, he has devised novel n-gram/NLP hybrids for botnet and social media spambot detection and automated data wrangling for billions of network records. Outside work he is a classically trained pianist, bringing a disciplined, creative perspective to technical problem-solving.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Financial Management, Master of Science - MS Financial Management at Pace University - Lubin School of Business
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Pace University
Bachelor of Science (B.S.) Finance General, Bachelor of Science (B.S.) Finance General at Central South University