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 Program Lead & Coordinator Read More

Ebrahim K. Tarshizi

Faculty

Degree Program

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.

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Jarod Daming Adjunct Professor Read More

Jarod Daming

Faculty

Degree Program

Academic Degrees

B.S., Computer Science- University of Southern Indiana

Areas of Interest in Data Science

Data Engineering

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Bharath Inti Adjunct Professor Read More

Bharath Inti

Faculty

Degree Program

Academic Degrees

M.S., Data Science- Michigan Technological University
Bachelor of Technology, Electronics and Communication Engineering- Jawaharlal Nehru Technological University, Hyderabad, India

Areas of Interest in Data Science

Machine Learning, Data Science Programming, Natural Language Programming, Neural Networks and Deep Learning.

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Vicente Malave Adjunct Professor Read More

Vicente Malave

Faculty

Degree Program

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.

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Jules Malin Adjunct Professor Read More

Jules Malin

Faculty

Degree Program

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.

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Ion Nemteanu Adjunct Professor Read More

Ion Nemteanu

Faculty

Degree Program

Academic Degrees

M.S., Data Science (formerly Predictive Analytics)- Northwestern University
B.S., Business Administration/High Technology Management- California State University, San Marcos

Areas of Interest in Data Science

Text Mining, Recommender Systems, Forecasting, Scaling Data Science, Experimentation, and Outlier Detection.

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Brandon Quach Adjunct Professor Read More

Brandon Quach

Faculty

Degree Program

Areas of Interest in Data Science

Customer service automation, machine vision, and credit risk.

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Matthew C. Vanderbilt Adjunct Professor Read More

Matthew C. Vanderbilt

Faculty

Degree Program

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.

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Jeffrey Yau Adjunct Professor Read More

Jeffrey Yau

Faculty

Degree Program

Academic Degrees

Ph.D., Economics (focus: Econometrics)- University of Pennsylvania
M.A., Economics (focus: Econometrics)- University of Pennsylvania
B.S., Mathematics- University of California, Los Angeles

Areas of Interest in Data Science

Time Series Forecasting, Time Series Data Mining, Reinforcement Learning, Stochastic Dynamic Programming, and Econometrics.

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