Master's in Applied Data Science Faculty at University of San Diego

Master’s Degree in Applied Data Science Applied Data Science Faculty

Online M.S. in Applied Data Science Faculty

The faculty members selected for the M.S. in Applied Data Science program possess a unique combination of government, academic, and industry experience spanning enterprises focused on technology, engineering, business, marketing, education and more. All courses in the M.S. in Applied Data Science degree program are taught by these real world experts in the applied data science field. Their expertise, experience and insight about this emerging industry provides students with relevant information and expectations about careers in data science.

Ebrahim K. Tarshizi, PhD, MBA

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

Ph.D., Geo-Engineering – University of Nevada, Reno
M.S., Data Science – Michigan Tech
Master of Business Administration (MBA) – University of Nevada, Reno
M.S., Mining Engineering, with graduate minor in Business – University of Nevada, Reno
B.S., Exploration Engineering – Azad University

Areas of Interest in Data Science

Applications of Data Science in Occupational Health and Safety, Text and Web Mining Applications, and Ethics in Data Science.

About

Dr. Ebrahim K. Tarshizi is a Professor of Practice and Academic Director of the Applied Data Science program at the University of San Diego’s Shiley-Marcos School of Engineering, and he serves on the scientific advisory board for a tech start-up company in San Diego, CA. He is an Adjunct Professor of Data Science and Business Analytics at National University, where he has taught a variety of analytics courses. He is also an instructor for the UCSD Extension’s Business Intelligence Analysis.

Ebrahim is a former senior technical advisor for the CDC National Institute for Occupational Safety and Health’s (NIOSH) Mining Research Program. He was a visiting scholar at the UCSD’s San Diego Supercomputer Center (SDSC) and an Assistant Professor at Michigan Tech, where he spent over two years to co-develop a new engineering curriculum.

Ebrahim received a Ph.D. degree in Geo-Engineering from the University of Nevada, Reno (UNR). He obtained an M.Sc. in Data Science from Michigan Tech and an M.B.A. from UNR College of Business. He earned a B.Sc. in Exploration Engineering in Iran. Ebrahim has published several articles in international journals and symposium proceedings and has delivered many technical reports and presentations at professional meetings and conferences. He has received a number of University, national, and international awards and honors.

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Matthew C. Vanderbilt, MS

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

M.S., Business Analytics – National University
B.S., Accountancy – National University

Areas of Interest in Data Science

Applications of Data Science in Finance and Operations, Business Analytics, and Probabilistic Depreciation.

About

Matthew Vanderbilt is the Director of Business Analytics & Fiscal Affairs for the UC San Diego School of Medicine, Department of Medicine, where he is responsible for financial and accounting oversight and development of finance and operations business intelligence solutions across the academic, clinical, and research missions. Previously, he represented San Diego Gas & Electric, a Sempra Energy utility, as a State and Federal expert witness on probabilistic depreciation and legal matters pertaining to the jointly-owned San Onofre Nuclear Generating Station. He has more than two decades of experience providing leadership and expertise in business intelligence solutions for accounting, finance, engineering, and operations. Mr. Vanderbilt holds with distinction a Master of Science in Business Analytics and Bachelor of Science in Accountancy from National University, as well as an Associate of General Studies and Associate of Arts earned from Scottsdale Community College at age 16. He has previously built and operating a small-business accounting consultancy, Vanderbilt Ventures, Inc., and a technology company, Vanderbilt Technologies, Inc.

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John Chandler, PhD, MS

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

Ph.D., Mathematical Sciences – University of Montana
M.S., Mathematics – University of Washington
B.A., Mathematics – Middlebury College

Areas of Interest in Data Science

Statistical modeling, data visualization, resampling statistics, regression.

About

John has worked at the forefront of marketing and data analysis since 1999. He has worked with Fortune 100 advertisers and scores of agencies, measuring the effectiveness of advertising and improving performance. At Data Insights, John has worked with prominent companies such as Tableau, eBay, LinkedIn, General Mills, Microsoft, the Sierra Club, Kraft, and a host of smaller clients. John regularly lectures to business school students at the undergraduate, MBA and Ph.D. level. As of 2015 John has joined the faculty at the University of Montana School of Business Administration as a Clinical Professor of Marketing and the Cognizant Future of Work Faculty Fellow, teaching core classes in the MS of Business Analytics, which he helped create.

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Erin Cooke, MS

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

M.S., Data Science – National University
B.S., Public Health – National University

Areas of Interest in Data Science

My areas of interest in Data Science are Data Ethics, Natural Language Processing, and visual creation.

About

Erin is currently an instructor in “Data Science for Good,” a special workshop series produced by the University of San Diego Master of Science in Applied Data Science program in collaboration with San Diego Tech Hub. She feels a special privilege with this opportunity of introducing the field of data science in this program and touching upon the important subjects of Data Ethics and Storytelling with Data.

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Satya Allumallu, MS

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

M.S., in Statistics, School of Statistics, University of Minnesota
M.S., in Mechanical Engineering, Department of Mechanical Engineering, University of Minnesota
B.E., in Mechanical Engineering, M.V.S.R. Engineering College, Hyderabad, India

Areas of Interest in Data Science

Anomaly Detection, Interpretable Machine Learning & Data Science in Health Care

About

Data Science team lead at Becton, Dickinson & Company (BD) with 14+ years of industry experience with expertise in applied predictive modeling, statistical methods, engineering understanding and business acumen. Recipient of highest corporate technical achievement awards at Seagate & BD for Data Science product development with significant impact. Played active role in building data science teams and mentoring junior data science professionals. Continuous learner with dual master’s degrees in mechanical engineering & Statistics, data science professional development certifications from MIT & Stanford.

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Sean Coyne, BS, MBA

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

B.S., Aeronautics – Kent State University
Master of Business Administration (MBA) – Cleveland State University

Areas of Interest in Data Science

Distributed computing and streaming data.

About

I am currently a Staff Data Engineer at GoodRX leading the data team that supports new customer acquisition across online and offline mediums.

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Mikael Graindorge, DBA, MBA, BA

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

Doctorate Business Administration, MBA, BA

Areas of Interest in Data Science

Mikael’s passion is to combine his craftsmanship with modern technology by developing new global solutions to drive sales conversion rates, advance the boundary of knowledge, and enable others to reach their full potential with data.

About

Mikael recently joined Dexcom as the Director Data Scientist, in charge of data platform, data strategy, and advanced analytics. Previously, Mikael worked at Thermo Fisher Scientific for 10 years where he most recently served as the Senior Manager of Commercial Operations, responsible for Master Data Management platform, advanced analytics and insights, machine learning and data science, and commercial operation automation. In addition to his time at Thermo Fisher, Mikael also spent an extensive amount of time building cloud based solutions with Amazon Web Services (AWS) acting as Data Strategist Leader within his organization and built one of the most successful data science platforms that generated over $300 million in revenue.

He is also known for his cooking and carpentry skills, and is committed to lifelong learning. Mikael holds a master’s and a doctorate specializing in digital commerce growth by utilizing cognitive psychology stimulation.

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Michael Jalkio, BS

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

B.S., Computer Science- Cornell University

Areas of Interest in Data Science

Data engineering, data warehousing, business intelligence, applying software engineering best practices to data science.

About

Michael is a data engineer on the Buyer Policy Abuse machine learning team at Amazon in San Diego. His team keeps Amazon stores safe and trustworthy by preventing bad actors from abusing Amazon’s customer obsessed policies. Before joining a “big tech” company he worked on an enterprise data warehouse migration project at Petco, and helped build the data science team at a startup called Classy. He’s most passionate about doing work that makes a positive impact and helps give everyone in the world equal opportunity to do what they love.

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Vicente Malave, MS

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

M.S., Cognitive Science – University of California, San Diego
B.S., Computer Science – Carnegie Mellon University
B.S., Cognitive Science – Carnegie Mellon University

Areas of Interest in Data Science

IoT and Sensor networks, Data Science in healthcare, and Bayesian statistics.

About

Vicente Malave is a Data Scientist and currently working for a start-up company in San Diego, California. Vicente obtained a Master’s Degree from UC San Diego’s Department of Cognitive Science, specializing in Data Science. He is currently on leave (ABD) from the Ph.D. program at UCSD. He also holds a degree in Computer Science (BS) Carnegie Mellon University and has worked on machine learning research at UCLA’s Institute for Pure Applied Math, The New Mexico Consortium/Los Alamos, and Nokia Research.

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Jules Malin, MS

Faculty

Degree Program

Master of Science in Data Science

Academic Degrees

M.S., Data Science (formerly Predictive Analytics)- Northwestern University
B.A., Organizational Studies- University of California, Davis

Areas of Interest in Data Science

IoT, Smart Device, Smart App Analytics, and Applications of Deep Learning in Computer Vision in Digital Marketing.

About

Jules Malin is the Director of Data Science and Analytics at GoPro and regularly speaks on the topics of Big Data, Analytics, Data Science, and Machine Learning in different workshops and conferences. Jules holds a BSc in Organizational Studies from the University of California, Davis, and a Master’s Degree in Data Science from Northwestern University. He has built multiple analytics teams that deliver actionable insights, influencing product development, and marketing efforts.

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