Live Online - A unique learning experience

The instructor taught things we could not learn elsewhere nor easily find in mainstream
non-academic books on the subject. I found their knowledge
and passion invaluable."

-Class of 2017 Program Survey.

Department of Statistics Faculty

Dr. Simon Sheather
Professor, and Academic Director, MS Analytics
and Online Programs and Interim Director of the
Texas A&M Institute of Data Science

  • Ph.D. in Statistics, La Trobe University, Melbourne,  Australia

  • Bsc (honors) from Melbourne, Australia

From 2005-2014, he served as Professor and Head of the Department of Statistics at Texas A&M University. Previously he was a faculty member at the Australian Graduate School of Management at the University of New South Wales in Sydney, Australia.

He has published over 80 papers and 2 books. According to Google Scholar, his work has been cited more than 10,000 times. Simon works with industry developing practical predictive models for big data in the fields of oil and gas, healthcare, hospitality, entertainment, financial services and retail.

STAT 608: Regression Analysis
STAT 626: Methods in Time Series Analysis
STAT 684: Practicum
STAT 685: Directed Studies
Dr. Sheather also serves as Capstone Project Coach

Dr. Sheather's research interests are flexible regression methods for big data, and smoothing methods in non parametric statistics, shrinkage smoothing parameter for

Dr. Edward R. Jones
Executive Professor

MS. and Ph.D. in Statistics, Virginia Polytechnic Institute and State University
BS with Honors in Computer Science from Texas A&M University-Commerce

Dr. Jones worked in industry for a number of years before joining academia. He was a Baldrige Award Examiner, an elite group of leaders who help drive organizational performance excellence across the country. Dr. Jones enjoys sailing, motorcycles, and salsa dancing.

STAT 656: Applied Analytics Using SAS Enterprise Miner
Capstone Project Coach

Applied Statistics
Statistical Computing
Data Mining/ Machine Learning
Artificial Intelligence
Artifical Neural Network

Dr. Mikyoung Jun
Associate Professor

Ph.D., University of Chicago
BS, Seoul National University, Korea

Dr. Mikyoung Jun is an Associate Professor of statistics at Texas A&M University. She received her PhD in Statistics from University of Chicago in 2005 and joined the Statistics Department at Texas A&M University as an Assistant Professor in 2005. Dr. Jun’s research focuses on methodological development for spatial and spatio-temporal data on a global scale and application to various climate and environmental applications.
Outside of work, Dr. Jun enjoys spending time with her husband and their 9 year old daughter. She plays piano and enjoys listening to classical music. She loves exploring restaurants and cafes for various cuisines. She loves drinking espresso (she is a heavy espresso drinker).

STAT 647: Spatial Statistics
Capstone Project Coach

Environmental statistics
Spatial statistics

Mays Business School Faculty

Dr. Mike Kinney Assistant Dean for
Graduate Programs
KPMG Faculty Fellow

Ph.D., Accounting, University of Arizona
MS, Accounting, University of Wyoming
BBA, Accounting, Hastings College

Professor Kinney is the Assistant Dean for Graduate Programs and teaches in the MBA and EMBA programs as well as executive development programs at Texas A&M. He is active in the PhD program and currently serves as Coordinator of the PhD Program in Accounting.

ACCT 610: Financial Accounting

Cost management
Inventory management
Corporate income taxation on business decisions and earnings
Management using real activities

Dr. 'Jon (Sean) Jasperson
Clinical Associate Professor and
Academic Director, MS Business

Ph.D., Florida State University
Master of Accountancy, Brigham Young University
BS, Brigham Young University

Dr. Jasperson enjoys reading especially historical fiction, biographies, and juvenile fiction, logic puzzles, cooking breakfasts, and spending time with family.

ISTM 615: Business Database Systems
ISTM 601: Fundamentals of Business Programming

Information technology adoption and use
Information systems implemntation

Dr. Adam Kolasinski
Associate Professor

PhD., Financial Economics, Massachusetts Institute of Technology, Sloan School of Management
BA, Magna Cum Laude, Economics-mathematics, Columbia University

The current holder of the James W. Ashton Republic Bank Professorship in Finance at the Mays School of Business at Texas A&M University, Dr. Kolasinski began his career as an analyst in the investment banking group of Wasserstein Perella & Co. He then transitioned to scholarly research, first taking a job as an Economist at the Federal Reserve Bank of New York, and then going back to school to earn a doctorate in Finance at the MIT Sloan School of Management. Dr. Kolasinski’s research focuses on corporate governance, capital structure, financial institutions, and financial regulation, and his work has been published in prominent scholarly journals, including the Journal of Finance, Journal of Financial Economics, Management Science and others. Dr. Kolasinski has been teaching finance at both the Master’s and undergraduate level for 11 years. In addition to teaching at the Mays School, he has taught at the Wharton School at the University of Pennsylvania, as well as the Foster School of Business at the University of Washington.

FINC 649: Financial Modeling

Capital Structure
Mergers and Acquisitions
Private Equity & Venture Capital
Financial Institutions
Financial Market Regulation
Securities Lending and Short Selling

Dr. Hari Sridhar
Center for Executive Development Professor
and Associate Professor

Ph.D., Marketing, Trulaske  College of Business University of Missouri
MS Engineering Management, University of Missouri
BE Mechanical Engineering, R.V. College of Engineering, Bangalore, India

Hari is an expert in evaluating the effectiveness of firms’ marketing spending —a core responsibility of marketing managers. His research marketing mix analytics decisions and spans media, digital and business-to-business markets. Hari’s research has been published in Marketing Science, Journal of Marketing, Journal of Marketing Research, Quantitative Marketing and Economics, and Harvard Business Review, and featured in National Public Radio (NPR), Reuters Inc., FOX News, and Booz & Co. Hari recently published a book titled “Marketing Strategy: Based on First Principles and Data Analytics”. For his research contributions, Hari has received a Marketing Science Institute Young Scholar award and the Varadarajan Award for Early Career Contributions to Marketing Strategy Research.

MKTG 625: Marketing Engineering

Digital and business-to-business markets

General John Van Alstyne
Executive Professor and
Director Business Fellows Program

Master's Militiary Science, Army Command and General Staff College
Master's National Security and Strategic Studies, Naval War College
BBA, Marketing, Texas A&M University

Van Alstyne’s long career in the Army provided him with a variety of leadership experiences. He led troops in Germany, Vietnam, Panama, Iraq, and at a number of posts in the United States.
During his seven-and-half years as Commandant of the Corps, Van Alstyne worked to emphasize leadership and academics. Now at Mays, he is working with top students through the Fellows program, a premier leadership opportunity for business Aggies.
Van Alstyne and his wife, Anita, reside in College Station. They have three children and six grandchildren.

STAT 684: Practicum

Working in teams

Mr. John Krajicek
Executive Professor and
Assistant Director of
Business Communications Studies

MA, University of North Texas
MSA, North Texas State University
BA, North Texas State University

John Krajicek is an executive professor and the assistant director of Business Communication Studies for the Full-Time, Professional, and Executive MBA Programs. He’s been on the faculty at Texas A&M since 1996. Before joining the MBA Programs in 2005, he taught scientific and technical writing, rhetoric and composition, and an introduction to literature in Texas A&M’s Department of English, as well as an introduction to taxation in the Department of Accounting.
Mr. Krajicek has received two Association of Former Students teaching awards, along with the Nancy and William J. Gardiner Teaching Excellence Award, the Creswell Award for Excellence in Teaching, and the Killingsworth Award in Teaching Excellence. He is also a Certified Public Accountant.

STAT 684: Practicum

Communication theories
Public speaking best practices
Professional presence
Mindfulness, emotional, and social intelligence

Adjunct Faculty

Dr. Mark Hartmann
Adjunct Professor

Ph.D. Operations Research, Cornell University
MS Operations Research, Cornell University
BES/MS Johns Hopkins University

Dr. Hartmann lives with his wife and two retired racing greyhounds; they are all active in a local greyhound adoption group. The youngest two of their four children are sophomores in college. When travelling, he visits independent record stores to add to his extensive CD collection. He also enjoys falling asleep on the couch watching sports.

STAT 657 Advanced Programming using SAS

Optimization Modeling
Integer Programming
Combinatorial Optimization

Dr. Kevin Davidson
Adjunct Professor

Ph.D University of Houston, Houston, TX. Clinical Neuropsychology. Dissertation: A comparison of four models of verbal functioning in children on the Halstead-Reitan battery using confirmatory factor analysis. 

MA University of Houston, Houston, TX. Clinical Neuropsychology. Thesis: Predictive and differential validity of the HISD Kindergarten Screening Instrument

BS University of Houston, Houston, TX. Major: Psychology. Graduated cum Laude.

 I enjoy traveling with family, mostly to Europe.

Have always loved baseball and lately have become a big fan of fast-pitch softball, mostly from following my teenage daughter play.

Love staying up on current news, playing with our dogs, and lazy Sunday's with the newspaper.

STAT 657: Advanced Programming using SAS

Data warehousing
Business informatics

Capstone Project Coaches


Dr. William Smith
President of Lecot Inc,

PhD Statistics, Texas A&M University 
MS Mathematics, Texas A&M University
Additional graduate work performed at Rice University and Virginia Polytechnic Institute
BS Mathematics, Lamar University

William B. Smith is retired as Executive Director of the American Statistical Association (ASA) and is Professor Emeritus of Statistics at Texas A&M University, where he was chairman of the Department for a period of nine years and served in A&M’s College of Science Dean’s Office for an additional nine years. Prior to coming to the ASA, Smith was a program director in statistics at the National Science Foundation. His research interests are in multivariate analysis, especially with regarding applications to industrial, educational and legal processes. He has co-authored two books and over fifty articles in statistics. He was editor-in-chief for the Communications in Statistics for ten years.

Smith is a Fellow of the American Statistical Association, as well as a winner of ASA’s Founders Award. He received a distinguished teaching award (university-level) at Texas A&M University, and he received the H. O. Hartley and Don Owen awards. Since ‘retirement’ for ASA and Texas A&M University, Smith has continued teaching graduate level statistics courses at Texas A&M and serves a capstone project coach/committee chair in A&M’s M.S. degree program in Analytics. He also has given one-day continuing education courses at JSM and has served as an expert witness in civil and criminal cases.

Pablo Ormachea

JD Harvard Law School
MS Analytics, Texas A&M University
BA History and Government, University of Texas at Austin
Minor: Eastern European Studies

Pablo currently serves as Exec. Director of the Center of Science and Law, an interdisciplinary think tank with the goal of constructing a cost-effective legal system with higher utility and lower cost. The Center seeks to use neuroscience to develop new technologies that intersect with the criminal justice system in a novel way, including a tablet that can distinguish between offenders' and non-offenders' decision-making. His projects have been awarded over $1.2 million in research funds from the National Science Foundation, the National Institute of Justice, and private foundations for his study of crime patterns and the efficacy of legislation using qualitative research blended with data science.

Pablo is a graduate of Harvard Law School, where he won its largest student writing prize, served as co-editor-in-chief of the Harvard Latino Law Review, and co-Chair of the Harvard Latin American Law Society. He trained for four years as a Baylor College of Medicine postdoctoral fellow in the department of neuroscience. He also holds a Masters of Science in data analytics from Texas A&M University's department of statistics, where he served as a research assistant, won an award for the highest GPA, and received an endowed prize for best capstone project from a non-profit. Throughout his career, he has won several fellowships for international work, both for public service and for research abroad.

Eric Ziegel

MS Applied Statistics, Purdue University
BA Mathematics, Miami University

Eric Ziegel is an adjunct graduate professor in the Department of Statistics at Texas A&M University supporting the night MS(Analytics) program in Houston as coach for students’ Capstone projects. He also works part-time as a consulting data scientist and analyst and as an independent industrial short course instructor. Eric retired in 2014 after a 45-year career as an industrial statistician with Amoco and BP. He worked subsequently for 16 months as a contractor for Marathon Oil Company.
Eric has been a Fellow of the American Statistical Association since 1989. With ASA he has organized several technical programs, including the Association’s Annual Meeting, as well as serving as a section chair, committee chair, and member for several technical committees. His 25-year association with the journal Technometrics included 22 years as Book Reviews Editor and an honorary annual award in his name for best new book. More recently he has been active with the Data-Driven Analytics Section of the Society of Petroleum Engineers, organizing two technical programs, presenting papers at several technical meetings, and publishing in the SPE online library. Eric has 3 US Patents for solving petroleum engineering problems using data-driven models.
Eric was given the Distinguished Science Alumnus Award by Purdue University in 2016.

Jamey Johnston

MS Analytics, Texas A&M University
BS Geography, Louisiana State University

A 20+ year veteran of Data, Database Administration, Programming (Started with BASIC on a VIC 20) and GIS/Remote Sensing. Currently, a Data Scientist and BI Architect for a Fortune 500 company in the Oil and Gas industry. In his spare time he enjoys traveling with his wife on mission trips and visiting Disneyland and Walt Disney World. He is a professional photographer as well.