HKUST MSc in Data-Driven Modeling - Expert Sharing Seminar by Dr. Jones WAN
We are excited to have Dr. Jones WAN, Senior Data Scientist of Shell UK, to share on how to Become a Data Scientist. The seminar is open to students majoring in the MSc Program in Data-Driven Modeling, Mathematics, and Physics.
Details are as follows.
Date: 5 March 2024 (Tuesday)
Time: 3:45 - 4:45 pm
Venue: Chen Kuan Cheng Forum (Lecture Theatre H), HKUST
Host: Prof. Tian Wen CHEN, Associate Professor of Science Education, Department of Physics
Seminar Overview:
Dr. Jones Wan is a lead data scientist and a technology enthusiast of renewable energy, big data, IoT, and machine learning. In this seminar, he will share his experience in transforming his career from academic research to data science. To gain first-hand insights and help you set your career path, you are welcome to join this seminar.
About the speaker:
Dr. Jones WAN is a Senior Data Scientist at Shell. Before joining Shell he worked at Hongkong and Shanghai Banking Corporation Limited (HSBC) and the Bank of the East Asia as data science lead. Dr. Wan began his career as a data scientist and has led & managed more than 50 international projects in different industries. Dr. Wan has more than 10 years’ experience in technical development and business development with in-depth knowledge of regression, classification, and machine learning algorithms. He received a PhD in Physics from the Chinese University of Hong Kong and postdoctoral training at HKUST.
*Remarks:
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This is a face-to-face seminar.
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This seminar is open to students majoring in the MSc Program in Data-Driven Modeling, Mathematics, and Physics.
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Please be advised that photographs will be taken and video will be recorded during the event. By entering this event, you consent to photographing, audio recording and video recording to be used for news, promotional purposes, advertising, inclusion on websites, social media, or any other purpose by HKUST MSc in Data-Driven Modeling.
Students are requested to present their valid student cards to join the event upon arrival.