Pam Bourjaily became Tippie College’s first faculty in business communication in 2019. She built and developed the Department of Accounting writing program, one of the first business departmental writing initiatives in the country, pioneering a “writing across the curriculum” approach that serves as working model and proof of concept for the college’s current discipline-specific departmental communication plans. As director of the Frank Business Communication Center, she transitioned the center from a tutoring operation to the primary hub of business communication initiatives and solutions in the college.

In her current more pedagogy-focused role, she specializes in business communication course design and assessment and regularly presents on curriculum innovation at the Association for Business Communication, the largest association for academic business communication professionals in the world.

Dr. Weiguo (Patrick) Fan received his Ph.D. in AI/Information Systems in 2002 from the University of Michigan, Ann Arbor. His research interests focus on the design and development of novel information technologies — AI, information retrieval, data mining, text analytics, social media analytics, business intelligence techniques — to support better business information management and decision making. He pioneered the application of Genetic Programming for search engine ranking optimization, and the application of natural language processing/textual analytics for business applications such as financial statement risk assessment, uncovering product/service quality issues from social media (quality analytics), assessing crowdfunding success from project descriptions, and finding product innovation ideas from user-generated contents. He has published more than 285 refereed journal and conference papers, of which 7 papers are designated as the ESI highly cited papers by Web of Science. His research has been cited more than 15200 times (h-index 59, i10-index 166) as of 03/01/2023 according to Google Scholar.

Professor Solow-Niederman's scholarship explores how to regulate technologies in a way that reckons with social, economic, and political power.  Focusing on algorithmic accountability, data governance, and information privacy, she evaluates how digital technologies, such as artificial intelligence, challenge regulatory approaches and expose underlying legal values.  

Her work has been published or is forthcoming in the Northwestern University Law Review, the Journal of Law & Innovation, the Southern California Law Review, the Berkeley Technology Law Journal and the Stanford Technology Law Review. 

Nick Teff (PhD13) holds a PhD in Mathematics from the University of Iowa and is an experienced data scientist with a strong background in machine learning and data analytics. At Shopify, he works as a full-stack data scientist on a small business lending product fully powered by deep learning. In this role, Nick is responsible for defining metrics and using his statistical expertise to drive data-informed decisions through multiple A/B experiments.

Nick has played a foundational role in the creation of analytics teams at both the University of Iowa Center for Advancement and Transamerica. He implemented some of these companies' first machine learning models to predict behaviors and decisions.

Nick is also an invited speaker at numerous industry conferences, where he shares his expertise on leveraging analytics in business. In addition, he has served as a site supervisor for many teams of students in Tippie's Business Analytics and Information Systems Capstone course.