Alec’s action research with companies uses organization design, job design, human capital analytics and strategic talent management to optimize organization performance and HR systems. He integrates the best elements of scientific research and practical, actionable knowledge that companies can use to improve performance; using economics, strategy, organization behavior, and industrial-organizational psychology to tackle talent and organizational challenges that defy easy solutions.  He has trained HR professionals from numerous Fortune 500 and Global 500 companies in human capital analytics. 

His books include Workforce Analytics: A Global Perspective, Strategic Analytics: Advancing Strategy Execution and Organizational Effectiveness, What Millennials Want From Work, and Employee Surveys That Work. His research has been featured in numerous academic and business publications, including Harvard Business Review, Sloan Management Review, New York Times, Wall Street Journal, and The Economist.

Alec holds a Ph.D. in Labor and Development Economics from Princeton University, where his doctoral work examined labor markets and economic development. He also earned a Master of Arts in Economics from Princeton University, and a Bachelors from University of Wisconsin, Madison, in Economics and Chinese language.

Alexis Fink, PhD., is a seasoned technology executive and scholar. Her corporate career spans senior roles at Microsoft, Meta, Intel and BASF, most recently as VP of People Analytics and Workforce Strategy at Meta. She has spent her career leading through technical and organizational transformations. She’s recognized as a thought leader in Future of Work, People Analytics, AI activation, leadership and organizational change.

She is a prolific author, including a comprehensive book on People Analytics, Investing in People: Financial Impact of Human Resource Initiatives, and the definitive book on employee sensing, Employee Surveys and Sensing: Driving Organizational Culture and Performance, and wrote the foreword for both the Handbook of Regression Modeling in People Analytics and THE Book on Quality of Hire, as well over a dozen other book chapters and scores of professional presentations.

Alexis is Past President of the Society for Industrial and Organizational Psychology (SIOP). She is well-recognized for her impact on the field of Industrial and Organizational Psychology, having been elevated as a SIOP Fellow and awarded SIOP’s Distinguished Service Award in 2019. An industry thought leader, she leads the People Analytics Board at the Institute for Corporate Productivity (i4cp), has been an Affiliated Research Scientist USC’s Center for Effective Organizations (CEO) for many years, and was Chair of the IT Survey Group, an industry consortium dedicated to employee surveys. Alexis earned her PhD in Industrial-Organizational Psychology at Old Dominion University.

Neil is a leader on the Agentic Workforce Strategy and Innovation team at Salesforce, where he serves as Senior Director of Human-AI Collaboration. As an Industrial-Organizational (I-O) Psychologist, Neil specializes in applying AI to talent management, scientific hiring and assessment, and skills-based organizations—with a current focus on work redesign and strategic capacity planning at the intersection of people, tasks, agents, and skills.

Prior to joining Salesforce, Neil co-founded Workplace Labs, an AI adoption and training company helping HR teams transform how they work, where his AI for HR Mastermind program has trained leaders from Google, Netflix, Airbnb, and other top companies. Previously, he served as Chief I-O Psychologist at Codility, VP of Product at HighMatch, and Head of Assessment Science at The Cole Group, supporting organizations such as Stripe, Workday, and Atlassian.

Neil is a published author and contributor to Artificial Intelligence for I-O Psychologists, Data Driven Decision-making in the Entrepreneurial Ecosystem, The Handbook of Employee Commitment, and The Cambridge Handbook of Technology and Employee Behavior. He writes the bi-weekly People-first AI newsletter and has been featured in TechCrunch, Forbes, Fast Company, and Dice. He holds a Ph.D. in I-O Psychology from the University of Georgia.

Nick Fitzpatrick is Director of AI Solutions and Enablement at Dolby Laboratories, where he leads enterprise AI adoption from the CIO’s office. Having led AI initiatives from within both the People function and IT, Nick has learned firsthand that successful AI implementation is a people challenge as much as a technology one.

As the leader of Dolby’s Work Innovation team, Nick brought together people strategy, systems modernization, and new talent models, creating the Elastic Talent Program for accessing specialized expertise on-demand and equipping leaders with new ways to think about how work gets done and who does it. He also served as site lead building the strategy and culture of Dolby’s first office in Dublin, Ireland, and established global teams to help scale work innovation for the company. He previously held talent and HR leadership roles at Galileo Learning and Blue Shield of California, where his talent development work won a Brandon Hall Gold Medal.

Craig Ramsay is a Principal People Scientist at Microsoft where he studies the motivational factors that help people be happier and more successful at work. As a lead researcher he oversees the design of the employee experience measurement architecture that supports Viva product development with a mission to bring engagement feedback, agentic AI productivity support, and action-taking directly into the flow of work.

Prior to Microsoft, he was a founding member of the Glint People Science team acquired by LinkedIn. Before that he was V.P. of the San Francisco Bay offices of Sirota (now Mercer). As People Analytics Director at both Intuit and Symantec, he established global centers of excellence helping leaders make better talent decisions with predictive analytics and actionable insights.

Craig’s current works studying the workplace experience in the age of AI are frequently published on Microsoft’s Tech Community blog site. His People Success Elements Model which provides a lens through which organizations can assess, understand, and act upon feedback to improve the modern employee experience was published in 2025 by Oxford University Press in a comprehensive 2025 guidebook: “Evolving the Employee Experience: An Integrative Perspective”.

He’s a past President of HR Strategy Forum, a consortium for California-based HR leaders and was past Chair of the Information Technology Survey Group (ITSG), a global survey research consortium. Craig has a M.S. Organization Development from University of San Francisco, and a B.S. Industrial Engineering from SJSU.

Eddie is a Senior People Analytics Business Partner at Adobe, where he builds data-driven talent strategies across HR functions. He partners with senior leaders and key stakeholders to generate actionable insights that advance Talent Management and Inclusive Experience efforts, shaping workforce outcomes through rigorous analytics and applied research.

With more than 20 years of experience in talent management, Eddie specializes in designing and implementing measurement-driven tools and processes that align people decisions with business strategy. His expertise spans assessment development and validation, job analysis and competency modeling, succession, selection, performance management, and leadership development. He has led large-scale domestic and global initiatives that translate organizational science into scalable, enterprise impact.

Prior to Adobe, Eddie was a Lead People Insights Partner at Atlassian, a People Scientist at Humu, Consulting Practice Leader at Development Dimensions International, Center of Excellence Consultant at AT&T, and Senior Research Analyst at Hogan Assessment Systems. He holds a PhD in Industrial-Organizational Psychology from the University of Tulsa and is passionate about advancing research-informed practices that make work better for individuals, teams, and organizations.

Shreya is an organizational psychologist, executive advisor, and CEO of Human Capital Growth, an evidence-based talent advisory firm. She partners with Fortune 100 and high-growth organizations, including Blue Shield of California, Cisco, Meta, Merck, and Dolby to drive measurable business outcomes, from closing revenue gaps to accelerating innovation pipelines. Her work spans leadership assessment, executive coaching, and people strategy, with a focus on enabling digital and AI-led transformation.

Shreya advises senior leaders on critical talent decisions, including succession for C-suite roles, and is known for applying rigorous, analytics-driven approaches to leadership evaluation and organizational effectiveness.

She serves as Board Chair of the HR Strategy Forum and is the architect of HRSF’s AI Collaboratories. Grounded in the belief that Bay Area HR leaders sit at the forefront of technological change and help set the standard for others, the Collaboratory convenes HR leaders, AI experts, and academics to co-create practical, human-centered approaches to AI adoption. Its goal is to ensure organizations don’t just scale technology, but thoughtfully redesign work, roles, and performance for a sustainable future.

In 2019, she received the SIOP Scientist–Practitioner Presidential Recognition Award. Shreya is an Affiliate Research Scientist at the University of Southern California’s Center for Effective Organizations and has authored multiple books and peer-reviewed publications. She holds a Ph.D. in Industrial and Organizational Psychology from Bowling Green State University.

At Adobe, Sasha leads a global team of analytics business partners who work with Adobe’s business units, corporate functions, and regions. Sasha and her team focus on bringing people data into critical business decisions, enabling outcomes that advance Adobe’s mission of Empowering Everyone to Create. Sasha is a passionate advocate for using AI for good, particularly in contexts involving sensitive people data. She evangelizes ethical, privacy-aware AI practices, helping HR and business leaders understand not only what responsible use of AI with people data looks like, but why it is essential when scaling experimentation and embedding AI into decision-making.

Prior to Adobe, Sasha worked in the healthcare and nonprofit sectors, focusing on people analytics, talent management, and learning and development. Sasha is on the Board of HR Strategy Forum (HRSF), where she spearheads the Experience Creation Committee, responsible for the design of HRSF’s 2026 Experience Portfolio —including the AI Collaboratory.

Sasha holds a Ph.D. from the University of New Mexico and a Master’s degree in Organizational Communication from the University of Arkansas at Little Rock, with academic focus on organizational culture, culture change, and the measurement of learning outcomes.

Barbara Baill is a strategic executive coach to senior executives in technology and life sciences. Drawing on 25+ years of experience in high-growth, high-stakes environments, Barbara is a trusted thought partner to senior executives navigating complexity, shaping culture, and aligning people strategies to enterprise goals.

Her clients—seasoned leaders with broad influence—rely on her as a sounding board and strategic resource as they drive large-scale change, build high-performing leadership teams, and develop the presence and strategic clarity required at the C-suite/board level to lead with impact across the enterprise. Barbara supports executives in sharpening their strategic narrative, expanding influence, and leading with clarity in uncertain times.

Previously, Barbara was Vice President of HR at Quantum Corporation’s $3B global business, leading enterprise people strategy and organizational transformation. At Hewlett-Packard, she built HR functions in both sales and R&D divisions and later led HP’s global executive development function, launching HP’s first program for high-potential diverse senior leaders.

Barbara serves on the Board of Directors for ROI Communication, an organizational communications consultancy, and is Vice Chair for the HR Strategy Forum, a professional association of Strategic HR Leaders. She holds an MA in Human Resources Management from the University of Minnesota and a BA in Sociology from the University of Michigan. She is a certified Integral Coach through New Ventures West.

Corey Grantham is an Operations Manager for the HR Strategy Forum (HRSF), where he supports the organization’s AI Collaboratory and broader efforts to help senior HR leaders navigate the future of work. In this role, Corey operates at the intersection of people, data, and strategy, designing experiences that enable organizations to more effectively adopt AI and integrate it into workforce and organizational decision-making. His work focuses on translating complex concepts into practical, actionable insights for business and HR leaders.

Corey is a strong advocate for evidence-based decision-making and the responsible use of data in organizations. He is particularly interested in how AI and advanced analytics can be applied to better understand people at work, evaluate what truly drives organizational effectiveness, and support mission-driven institutions in making more informed, equitable decisions. He also has a growing body of scholarly work, with numerous peer-reviewed articles on leadership & followership, organizational culture, and employee attitudes currently under review at top-tier academic journals.

Prior to his current role, Corey spent more than a decade in talent management consulting, partnering with a wide range of organizations, including government agencies, professional services firms, healthcare organizations, retailers, accounting firms, and technology companies. His work has focused on designing, implementing, and evaluating programs across employee selection, training and development, performance management, and leader and team effectiveness, with an emphasis on applying rigorous research methods and data to improve organizational outcomes.

Corey holds a Ph.D. in Industrial and Organizational Psychology from the University of Connecticut. He will be joining the inaugural cohort of Brown University’s Master of Science in Business Analytics program, where he is further developing his technical capabilities in data science, machine learning, and AI to complement his background in organizational research and people analytics.