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Master of Science in Data Science
Dina Dell'Aringa
Administrative Assistant
School of Engineering and Computer Science

Faculty Profiles

Rick Hutley Rick Hutley | Program Director and Professor of Practice |

Program Director, Rick Hutley, is a highly seasoned Information and Communications Technologist (ICT) with a visionary outlook balanced with a practical sense of execution. With 28 years in the telecommunications / IT industry, a former CIO of a global Service Provider, and 14 years of executive consulting experience to the C-suites of the largest corporations in the world as the Vice President of Innovation at Cisco Systems, he is highly experienced in driving business outcomes through the effective use of technology and data. For the last five years he has been assisting major global corporations with their adoption of the Internet of Everything, including Big Data and Analytics. 

Jim Hetrick James Hetrick | Assistant Director, Fletcher-Jones Professor in Data Science |

Dr. James Hetrick is a professor and former chair of the Physics Department at the University of the Pacific. After finishing his Bachelor's degree in Physics from Case Western Reserve University, he spent 13 months at the South Pole Station in Antarctica studying cosmic rays, the solar wind, the auroras, and the earth's magnetosphere. He received his Ph.D. from the University of Minnesota in theoretical particle physics and went on to hold postdoctoral research positions at ETH in Zürich, the University of Amsterdam, the University of Arizona, and Washington University in St. Louis, before coming to the University of the Pacific. In 2018, Dr. Hetrick was named a Fletcher-Jones Professor in Data Science. At Pacific, he teaches a wide variety of classes, including Cosmology and The Physics of Music.

Mike Williamson Mike Williamson | Professor of Practice |

Dr. Williamson earned his Ph.D. at the University of California, Berkeley in Electrical Engineering and spent much of his early career in the advanced electronics industry where he worked in the fields of lithography, plasma etching, semiconductor process integration, and semiconductor engineering. He infused experimental design and advanced statistical modeling and machine learning techniques into all of his work, including his time at Texas Instruments, Intel, and a number of Silicon Valley start-ups.   Since 2010 he has been wholly focused on applying data science techniques to areas such as biotechnology and web services, where he developed solutions such as self-sustaining quality metric predictions, continuing to work in the fields of statistics, and machine learning. His data science focus at Google and Imperium (a Google acquisition) focused on spam and abuse prevention as well as secret question and answer account recovery methods, data mining algorithms to identify malevolent IP addresses, and data visualization techniques.

Anahita Zarei

Anahita Zarei | Associate Professor | 

Dr. Zarei earned her PhD in Electrical Engineering from the University of Washington in 2007, and has written extensively on topics related to computational intelligence and machine learning.  In addition to teaching and research, she has also participated in on-campus events as a panelist and presenter in "Improving Classroom and Campus Climate for Women at Pacific (particularly in the STEM area)" and "Women of the World: International Perspectives on Gender."  She is also the faculty advisor for the Pacific chapter of the Institute of the Electrical and Electronics Engineers (IEEE).

Hatinder Chawla Hatinder Chawla | Professor of Practice |

Hatinder Chawla brings extensive experience in software development in freight logistics, airline reservation and ticketing systems, product quality analytics, customer relationship management, business forecasting and commerce systems while working at American Airlines, Sabre, and Cisco Systems. His areas of interest are in agile software development teams, building highly scalable cloud native systems, and data streaming analytics. He holds a MBA from the Haas School of Business at UC Berkeley, an MS in Computer Science from Texas Tech Lubbock, a Diploma in Electrical Engineering from Technische Universität Berlin, Germany, and a B.E. in Electrical and Electronics Engineering from Birla Institute of Technology, Mesra, India.

Dana Nehoran

Dana Nehoran | Lecturer |

Dana Nehoran is an industry authority in the management of data-driven engineering programs and a leader in the field of higher education analytics. She came to University of the Pacific after teaching for a number of other universities, most recently at San Jose State University, where she also held the position of Director of Student Success Decision Sciences in the Academic Affairs Division, leading a team that used predictive analytics to enable data-assisted decision making in several student success initiatives around campus. She continues in this role here at Pacific in addition to teaching for the MS in Data Science program and the department of Computer Science.  Earlier on, for over two decades, Nehoran held senior management and consulting positions with Fortune 500 companies such as Intel, Cisco, Qualcomm, Philips and Yahoo!, and has taught classes in data science and program management for Silicon Valley companies.  Nehoran earned her master's degree in analytics from University of San Francisco. She is also a PMP by the Project Management Institute, SAS certified, and holds a bachelor's degree in computer science from the Technion - Israel Institute of Technology. 

Mike Canniff | Lecturer |

Mike brings over 20 years of teaching and software product management experience to University of the Pacific. He was a faculty of the Eberhardt School of Business focusing on Management Information Systems from 2003-13. Mike has been a Lecturer in the School of Engineering and Computer Science (including Data Analytics) since 2013. He has been published in both commercial and research journals as well as presented at several MIS conferences. Mike's professional experience includes CEO or PyanGo (a leading provider of non-profit accounting solutions), Director of Development at PeopleSoft (a top Enterprise Resource Planning software company), and acting Chief Technical Officer at San Joaquin Regional Transit District. His area of research is focused on databases (both relational and NoSQL), eCommerce, integration technology and enterprise software development. He gained experience while working with many enterprise software applications, including PeopleSoft, Microsoft Dynamics, Sungard, NetSuite, and Salesforce. Mike has also worked with higher education institutions, manufacturing enterprises (IBM), eCommerce companies, and many non-profit organizations (including community, healthcare, NGOs, and transit agencies). He holds a Master Degree in Computer Science from Syracuse University.

Paul Starrett | Professor of Practice |

Paul Starrett, EnCE, CFE, is an attorney and private investigator specializing in high-profile investigations. His consulting firm leverages data-science tools to analyze structured and unstructured data. His 25-year career includes roles as general counsel, chief risk officer and as an information-security software engineer. Paul holds a Master's degree in Predictive Analytics from Northwestern University and a Master of Laws (LL.M.) in Taxation from Golden Gate University.

Dave Evans | Professor of Practice |

Dave Evans is an expert on emerging technologies and holds numerous patents in the fields of connected cars, virtual people, mobile phone technology, IoT and more. Evans was Co-founder and CTO of Stringify, a Silicon Valley, Internet of Things start-up aimed at unleashing the true potential of IoT. Previously Evans was a 24 year veteran of Cisco Systems where he was Chief Technologist of the their global executive consulting organization, as well as Cisco's Chief Futurist. He designed and developed advanced technological solutions for the world's largest companies and is a world renowned speaker on the Internet of Everything (a term he coined), disruptive technologies and their transformational impact. Evans' insights have been featured by some of the world's leading media outlets, including the BBC, Financial Times, Forbes, Fortune, CNN, NPR, Discovery Channel, The History Channel, MSNBC, New York Times, Nikkei, and more.

Greg Ruppert Greg Ruppert | Professor of Practice |

Greg Ruppert is the Bank Secrecy Act Officer and a Senior Vice President in Charles Schwab Corporation's Corporate Risk Management department. In his role, Greg is the Chief of the Financial Crimes Risk Management group, which encompasses the enterprise-wide BSA/Anti-Money Laundering, OFAC/Sanctions, Fraud Investigations, Cyber Crime Investigations, and Internal Investigation programs of the corporation. Prior to joining Schwab, Greg spent over 17 years with the FBI. In his last assignment, he was a senior executive at FBI Headquarters in Washington D.C. where he oversaw the Cyber Division's efforts to combat the highest priority cyber threats emanating from Asia, Eurasia, Middle East, and Africa. Greg began his FBI career in the Boston Field Office specializing in complex corporate and securities fraud, money laundering, financial crimes, and cyber fraud. He also served on the Enron Task Force as a senior investigator assigned to investigate Enron's CFO and other senior corporate officials.

Arun Saksena Arun Saksena | Professor of Practice |

Arun Saksena is the CIO and Digital Transformation Officer for Danaher Corporation's Product Identification (PID) Platform Group. He is based out of Danaher Labs in San Jose, CA. He brings a 33-year career in the fields of Hi-Tech, Manufacturing, Supply Chain Management, Consulting, and Data Science and Analytics. His role at Danaher is to work with the operating company leadership to establish digital strategy and execution for Internet of Things solutions, customer innovation laboratories to uncover requirements, and internal operations to promote aggressive deployment of digital analytics and process improvements across the business. Arun's career spans across industry verticals as a management consultant, technology and professional services executive. Some companies Arun has worked for include Cisco Systems, Accenture, Booz Allen & Hamilton, Procter & Gamble, and KPMG. His customers have included AT&T, Applied Materials, BP, Boeing, Cummins, Ford, IBM, Intel, Qualcomm, Samsung, Sony, Sprint, TSMC, Unilever, Vodafone and Verizon. Arun has a B.S. degree in Electrical Engineering from India. He holds a Master's Degree in Operations Research and an M.B.A. in Finance, both from Cornell University, Ithaca NY. He also holds 32 certifications in Digitalization, Data Science and Analytics.