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After my BA (Mathematics), BS (Computer Science) degrees and MBA (International Banking and Finance), I worked in multiple roles within IT organizations: developer, business analyst, DBA, sysadmin, netadmin and architect. I am currently involved in helping customers design and implement sustainable and scalable solutions, particularly for "Big Data." I am especially interesed in the risks associated with information governance, with an eye to reducing exposures in security and privacy. Meeting with my clients to develop solutions for their business and technical needs keeps me energized and at the forefront of emerging technologies. I have taught undergraduate and graduate courses in CS, MIS and Finance, and I turned back into a student after 10+ years to get my Master's degree in Information and Data Science (MIDS) from UC Berkeley, finishing in April 2016. Most of my spare time is spent reading, cooking, spending time with my wife and son, and flying as a private pilot.

I work at Two Sigma Investments, a hedge fund based in New York. Being a Data Scientist, my focus is on Machine Learning at scale and 'bottom-up' fundamental research. Getting my hands dirty with massive amounts of data and open source packages is my daily life. Before I started my Master's degree in Information and Data Science, I obtained a Bachelor's degree in Electrical and Computer Engineering from Carnegie Mellon University. Beyond the classroom and office, I love getting outdoors. I am an avid soccer fan, rooting for FC Barcelona. I also enjoy scuba diving, running, biking and hiking in my spare time.

I am what is now called a Data Scientist. I have a background in data mining and predictive modeling. During my professional career, I have used data and statistics to help banks fight fraud and manage credit risk, to help clients optimize their marketing campaigns, and to help investment management firms build hedge funds. I honed my communication skills while teaching Economics at the university level. As a data scientist, my interests lie in machine learning and working with big data. I have Bachelor’s degrees in Mathematics and Political Economy from UC Berkeley, as well as a Master’s degree in Economics from the University of Minnesota – Twin Cities. I finished my Master's degree in Information and Data Science (MIDS) at UC Berkeley in April 2016. I enjoy outdoor activities, including running, cross-country skiing, and rock climbing. I love to read, play the piano, travel with my family of 10, and watch the San Francisco Giants play baseball.

After a 20 year hiatus from the academic world, I completed my Master's degree in Information and Data Science (MIDS) at UC Berkeley in April 2016. I have spent most of my career leading business development efforts at American Express and Google, with a focus on payments, merchants, and data. By virtue of spending much of my career working with merchants in the retail space, I have a strong interest in helping companies and individuals in these verticals understand the transformative power of data science to their industry. Prior to my professional career, I received a Master's degree in Statistics and Operations Research from Princeton University and a Bachelor's degree in Industrial Engineering from the University of Manitoba. Being born and raised in Winnipeg, Canada, I am obviously a huge Winnipeg Jets fan. When not watching the Jets, I enjoy exploring the Bay area with my wife and two daughters.

I'm a Quantitative Trader at ACR Capital Research, a hedge fund in New York. I focus primarily on intra-day statistical arbitrage strategies in futures and equity markets. I became proficient in machine learning, large scale data analysis, and mathematical modeling having used these methods in both quantitative trading and scientific research endeavors. Prior to my professional career, I graduated from Carnegie Mellon University with degrees in Computational Finance and Statistics. Once a member of the China rhythmic gymnastics national team, I enjoy various types of dance and practice forms, including ballet, Chinese folk, tango, and yoga. I also love traveling, scuba diving, skiing, and playing piano in my spare time.