Dr. Larry Medsker

Program Lead and Sr. Consultant for Data Science & Analytics, Merrimack College

Dr. Larry Medsker is the Program Lead and Sr. Consultant for Data Science and Analytics at Merrimack College. Prior to joining Merrimack College, Dr. Medsker was a Research Professor at George Washington University, while also serving as the former and founding Director of the Data Science Master’s programs. Dr. Medsker also held the positions of Dean and Professor of Computer Science with the Siena College School of Science, and was the Chair of Computer Science and Information Systems and the Associate Dean of the College of Arts and Sciences with American University.

Dr. Medsker’s research has included hybrid intelligent systems, artificial intelligence, artificial neural networks, data science, and the nature of humans and machines. His current research focuses on the impact of AI and Data Science on the workforce of the future and on cognitive assistance in human-technology support systems for applications such as Autism Spectrum Disorder and active learning STEM classrooms. Dr. Medsker often participates in the Association for the Advancement of Artificial Intelligence (AAAI) Symposia and conferences, and is the Association for Computing Machinery (ACM) SIGAI’s Public Policy Officer.

Dr. Medsker has written more than 100 articles and four books in Artificial Intelligence and published over 100 articles in physics. He serves as Editor of the Artificial Intelligence and Ethics section of the Springer Nature Computer Science journal, and as the Associate Editor for the Neural Computing and Applications journal.

Dr. Medsker also has extensive experience working with industry and government (state and federal) professionals, as well as regularly representing universities and students on projects such as the Virginia Governor’s Data Internship Program, and mentoring data science student projects for government agencies.

Dr. Andrew Banasiewicz

Director of Data Science and Business Analytics, Merrimack College

Dr. Andrew Banasiewicz is the Director of Data Science and Business Analytics programs at Merrimack College; he is also the founder and a principle of Erudite Analytics, a data analytical consultancy. Prior to joining Merrimack College, Dr. Banasiewicz held a full-time faculty appointment at Boston University; he also formerly served as a part-time faculty member at Providence College and Harvard University, and a visiting lecturer at Audencia Business School in France and Bandung Institute of Technology in Indonesia.

Before embarking on academic and consulting career, Dr. Banasiewicz spent over 15 years in industry in senior-level quantitative analytics positions, most recently serving as a director of data science at an insurance company, and a senior vice president of analytics at an insurance brokerage firm. His primary area of expertise is predictive risk analytics, research design, and text mining; he has extensive, hands-on data analytical experience in a wide range of industries, including energy, utilities, automotive, financial services, pharmaceuticals, consumer packaged goods, gaming and hospitality.

Dr. Banasiewicz wrote four analytics-focused books, in addition to contributing multiple methodological journal articles and industry white papers; he is also a frequent speaker at national and international professional meetings and conferences, including the bi-annual Global Risk Forum in Davos, Switzerland. He is a member of the Society of Risk Management Consultants, where he serves as the Chair of Professional Practices, the Society for Risk Analysis, and the Professional Liability Underwriting Society; he is also a Fellow of the Claims and Litigation Management Alliance, and the Australian Academy of Business Leadership.

Read even more about Dr. Banasiewicz here.

Carmen Taglienti

Director of Analytics, Data Warehousing and Architecture, Pearson

Carmen has over twenty years’ experience as a Software Engineer and Systems Architect. He is a recognized leader in the Analytics, Large-Scale DBMS, Data Warehousing and the “Big Data” space.  Currently Carmen leads up Global Analytics and Data Architecture for Pearson as the company transitions from a book publishing company to a data-driven digital education organization. Prior to Pearson, Carmen built and led the Information and Analytics Practice for Slalom in Boston, which focused on working with clients to enable business focused high impact analytics solutions driven by modern data architecture platforms.

During his time as Slalom’s practice director, his business targets included data science solutions in areas such as clinical trial management and financial services customer behavior. He and his team developed modern data architecture (including cloud) solutions to support challenges in Data Warehousing, Big Data management, Data Governance and Real time data capture and scaling of  corporate data platforms. While at the Microsoft Technology Center in Cambridge and at Tripadvisor.com, he honed his skills on the Microsoft BI platform and advanced data platform architectures, including HADOOP and “Big Data” technologies. His visionary approach to the Data focuses on helping companies stay competitive through acceleration and business impact, as evidenced by work he had done creating a BI maturity model and an Analytics Reference Architecture. He is a published author and speaks at industry/technology events. Other past roles include Director of Data Platforms at BlueMetal Architects; Data Warehouse/BI/CRM Manager at TripAdvisor; Technology Architect at Microsoft; Lead Systems Engineer for MITRE; as well as several other software engineering and business intelligence related positions.

Carmen earned a Master in Systems Engineering from Boston University and a Bachelor of Computer Science from Rochester Institute of Technology.

Dr. Fotios Kokkotos

Partner, Head of Statistics, Trinity Partners LLC

Dr. Fotios Kokkotos is an accredited professional statistician (PStat®, one of about 300 in the world) by the American Statistical Association with over 25 years of experience in statistical consulting. Dr. Kokkotos specializes in the analysis of massive and complex health care datasets using sophisticated statistical techniques. Dr. Kokkotos has a wide range of experience in many areas of statistics, including but not limited to modeling patient health outcomes, sampling theory, survey designs, statistical modeling and forecasting, statistical computing, categorical data analysis, nonparametric statistics, stochastic processes, time series and mathematical finance. Dr. Kokkotos has an extensive knowledge and research completed with secondary public health data. His current research interests are the application of statistics, data mining and statistical computing in efficiently exploring and integrating very large databases under the constraints of shared distributed memory and concurrent programming algorithms. Dr. Kokkotos has been the author and reviewer of numerous articles and poster presentations in many scientific journals and conferences. Dr. Kokkotos has been involved in many academic research collaborations in the area of health outcomes with colleagues from top universities, such as Harvard, Cornell, Tufts, Michigan, Northwestern and Boston University.

Dr. Kokkotos held the position of senior statistician at the global statistics practice of PricewaterhouseCoopers LLP, where he provided statistical support to clients from various industry sectors that included life sciences, financial services, telecommunications and consumer products. Dr. Kokkotos has also been an adjunct faculty member of statistics at the American University in Washington, D.C. Dr. Kokkotos is a long time member of the American Statistical Association and the Mathematical Association of America. Dr. Kokkotos obtained a doctorate degree in mathematical statistics from The American University.

Bryan Shepherd

Faculty, Merrimack College

Dr. Bryan Shepherd has over 15 years of experience in quantitative research, predictive analytics, and statistical programming across a variety of academic and industry settings.

Much of Bryan’s industry-side career has been in marketing research. As a Senior Data Scientist at an e-commerce startup in Durham, NC, Bryan developed statistical models that helped improve clients’ ROI and contributed to a successful exit when the organization was purchased in 2018. Prior to this he built segmentations and predictive models at the renowned market research company, Yankelovich.

Bryan has also worked in statistical software development and government contracting. At SAS Institute, Bryan helped validate the accuracy of components within JMP. While at RTI, Bryan helped build statistical models used by the National Center for Education Statistics (NCES) to understand and predict the behavior of NCES sample members. He served on RTI’s institute-wide Big Data/Data Science steering committee when it was formed in 2013.

As the principal at Chanalytics Research, Dr. Shepherd provided analytic solutions to clients ranging from large-multinational companies to small, one-person shops. These consulting engagements covered topics as varied as piracy off the east coast of Africa and wine price forecasting.

In addition to this industry experience, Bryan’s research has been published in academic journals and edited texts. He has taught research methods courses at both traditional, post secondary institutions and in online settings.

Dr. Shepherd has extensive experience in R, SPSS, and SAS, but these days most often works with the Python Data Science stack.

Tracey Wilkie

Director, Population Health Reporting and Analysis, UMass Memorial Medical Center

Industry Advisory Board Member

Tracey Wilkie is the Director, Population Health Reporting and Analysis, Office of Clinical Integration at UMass Memorial Medical Center where she has worked in various roles for the past seven years.

Prior to joining UMass Memorial Medical Center she served as a Market Analyst for PC Connection; a Customer Administration Service Representative for Monster; a Project Analyst for Private Healthcare Systems; and a Senior Healthcare Analyst at Baxter Healthcare- The Health Data Institute.

Tracey earned her Master of Economics from the Pennsylvania State University and a Bachelor of Business Economics from Bloomsburg University of Pennsylvania.

Taiese Bingham-Hickman, M.S., M.BA., Ph.D.

Vice President, Data Analytics, Beacon Health Options

Industry Advisory Board Member

Taiese Bingham-Hickman, M.S., M.BA., Ph.D. – is currently Vice President of Data Analytics at Beacon Health Options. Beacon Health Options provides best-in-class behavioral health solutions for regional and specialty health plans; employers and labor organizations; and federal, state and local governments. In addition Beacon offers superior clinical mental health and substance use disorder management, a strong employee assistance program, work/life support, specialty programs for autism and depression and insightful analytics to improve the delivery of care. Dr. Bingham-Hickman also worked as the Manager of Analytics for Beacon’s Pharmacy Intervention Program and was key in the development of evidence based algorithms to help identify medication related problems specific to behavioral health conditions. Prior to working in managed care Dr. Bingham-Hickman conducted biomedical research at Children’s Hospital Boston and completed a research fellowship at Harvard Medical School. She studied Molecular Pharmacology at New York University School of Medicine and recently completed her M.B.A at Northeastern University. Dr. Bingham is a member of the American Society of Pharmacology and Experimental Therapeutics and a published author in her field.

Taiese Bingham-Hickman currently oversees Beacon’s Analytics Innovation Center. The Analytics Innovation Center provides thought leadership and analytic capabilities that enable Beacon Health Options to maintain its position as the industry leader in Behavioral Health. Her team leverages advanced analytic concepts to drive actionable, insight driven and outcome oriented decision making that empowers Beacon to deliver the best in class service for its members, providers and clients. The Analytics Innovation Center was formed to assist in the transformation of analytic product offerings in the domains of clinical and quality outcomes, financial health and integrated health outcomes. Part of Taiese’s responsibility includes the oversight of clinical programming and algorithm development specific to pharmacy intervention

Marcus Ellis

Senior Director, Pricing Analytics & Data Science, Staples

Industry Advisory Board Member

Marcus is an experienced Senior Director, University Instructor, and Doctoral Candidate with ten years in Predictive Analytics, Statistics, and Finance, Pricing & Promotions, and Retail Marketing analysis. Marcus joined Staples as the Senior Director, Pricing Analytics, Data Science in early 2016 to rebuild the analytics infrastructure in Pricing and Promotions and to lead the company into the world of using data to make decisions, develop strategies to pinpoint and resolve deficiencies and to create new opportunities to increase revenue and promote corporate goals.

Past roles include Senior Manager of Analytics and Predictive Modeling, Pricing and Promotions for Lowe’s Home Improvement; Finance Manager for TIAA-CREF; and Financial Analyst for Volvo Financial Services, and Training Analyst for Krispy Kreme.

Marcus has spent the past seven years as an adjunct professor for Boston University in both Project Management and Business Analytics graduate courses.

Currently he is pursuing his Doctorate in Business Administration and Finance and holds a Master in Predictive Analytics and Statistics from Northwestern University, a Master in Finance and Financial Management Services from Boston University, and a Bachelor in Economics from High Point University.

Jeremiah Lowhorn

Big Data Full Stack Software Engineer, Cigna

Programming Mentor

Jeremiah is a Data Scientist with eight years of experience in analytics. He is currently a Big Data Full Stack Software Engineer at Cigna. In addition to working full time, he serves as a Data Science Consultant for Primeritus Financial. His interests include time series analysis, anomaly detection, robust statistical methods, machine learning, and parallel computing. Jeremiah is fluent in R, Python, VBA, SQL, and is interested in learning new programming languages. He currently is learning C# and C++. In his leisure he spends time with his wife Brooke and son Magnus. Jeremiah holds a BS in Financial Analysis from Ball State University and a MS in Analytics from Dakota State University.