Community

Master of Financial Engineering Program

First-Person

Alexander Vossmeyer

Alexander Vossmeyer

Alex Vossmeyer graduated with Honors from UC Santa Barbara with a B.S. in Computer Science and a Minor in Statistics. His emphasis on Machine Learning and Statistics led him to an independent study focused on statistical crowd sourcing using Wikipedia’s open source project MediaWiki. This tool allows straightforward public sharing of datasets for statistical analysis http://rwikipedia.org/mediawiki-1.29.1/index.php/Movie-dataset.csv. He also participated in Stanford’s TreeHacks teaming up with a Neurodiagnostic Intern to co-develop an Epilepsy Detection and Treatment Device. The solution utilized an Arduino with biosensors to detect an epileptic event, winning his team the Intel TreeHacks award. Prior to his undergraduate studies, Alex participated in an international internship at IDS with part of his work taking place in Manila. During his internship he worked across various departments developing a comprehensive view of their structural engineering and software development businesses. Alex has a passion for communication, leadership, and technology. He was recognized by WashU with a Global Leadership Writing Award. He enjoys traveling abroad and has studied Italian in Sienna and Vetralla. His travels have taken him across Europe, Hong Kong, Vietnam, and the Philippines. His favorite sport is Skiing and was a member of the UCSB Ski Club and the Hidden Valley Ski team.

Tianbi Wang

Tianbi Wang

Tianbi Wang received a Bachelor's degree with majors in Computer Science and Statistics from University of California at Berkeley. During his undergraduate studies, he developed a solid theoretical and practical background in fields such as machine learning and data analytics while his graduate studies trained him in advanced finance methodologies, econometrics, and mathematics. Prior to joining the Berkeley MFE program, Tianbi worked at PricewaterhouseCoopers’ (PwC) San Francisco office for a year as an advanced risk and compliance analytics consultant. He helped businesses and organizations transform audit, risk, and compliance through data analytics. Tianbi later worked for a year at Gifford Fong Associates (GFA) as a quantitative financial analyst. At GFA, he specialized in fixed-income products valuation and supported the fixed-income research teams from four top-tier U.S. investment banks. Tianbi has passed the CFA level I exam and during his spare time he enjoys playing golf, swimming and reading.