Yu Ting Shen, Ph.D.
About Yu Ting Shen, Ph.D.
Yu Ting Shen, Ph.D., is a Data Scientist at Seeloz, Inc. in the San Francisco Bay Area, with extensive experience in data analysis, machine learning, and deep learning.
Current Position at Seeloz, Inc.
Yu Ting Shen, Ph.D., currently works as a Data Scientist at Seeloz, Inc. in the San Francisco Bay Area. Seeloz, Inc. is known for leveraging advanced analytics and AI technologies to solve complex supply chain challenges. In his role, Yu Ting Shen applies his expertise in data analysis, machine learning, and statistical modeling to contribute to the company's technological advancements and optimize supply chain solutions.
Previous Role at CERN
From 2015 to 2018, Yu Ting Shen worked as a Data Scientist at CERN, located in Geneva, Switzerland. During his tenure at this renowned scientific research organization, he was involved in analyzing massive datasets generated from high-energy physics experiments. His work contributed to groundbreaking discoveries and advancements in particle physics, utilizing his skills in data analysis, machine learning, and statistical modeling.
Education and Research at University of Oklahoma
Yu Ting Shen earned his Doctor of Philosophy (PhD) in Physics from the University of Oklahoma, where he studied from 2011 to 2018. During this period, he also served as a Graduate Research and Teaching Assistant. His research focused on time series analysis and forecasting using deep learning algorithms, and he contributed to various academic publications. He also mentored undergraduate students in their research projects, leveraging his expertise in physics and data analysis.
Professional Experience in Taiwan
Prior to his academic and professional pursuits in the United States and Europe, Yu Ting Shen worked in Taiwan. From 2006 to 2009, he served as a Research and Development Engineer at TSMC in Hsinchu City, engaging in semiconductor research. Before that, from 2009 to 2011, he was a Research Assistant at Academia Sinica in Taipei, where he further developed his research skills. Additionally, he holds a Master of Science (MS) in Physics from National Taiwan University, attained from 2003 to 2006.
Technical Proficiencies and Specializations
Yu Ting Shen specializes in time series analysis and forecasting using deep learning algorithms. He is proficient in various programming languages, including Python, C/C++, Fortran 77/95, Bash shell script, HTML, LATEX, SQL, VBA, and R. He is experienced with machine learning frameworks and tools such as Keras, TensorFlow, Spark, and Hadoop. His skills encompass data analysis, linear algebra, statistical modeling, natural language processing (NLP), machine learning, and deep learning. For data analysis and visualization, he utilizes Python packages like Pandas, Numpy, Scipy, matplotlib, Seaborn, and Scikit-learn.