Sirish Shrestha, MS

Senior Data Scientist

Current Role

Sirish Shrestha is a Senior Data Scientist on our Innovation Team, where he contributes to building a culture of experimentation and continuous learning across the organization. He works closely with cross-functional teams to prototype and scale data-informed innovations, ensuring that we remain at the forefront of leadership science and technology. His work has been published in peer-reviewed journals and recognized through patents in AI-driven diagnostics and NLP optimization.

Experience

With a background in statistics, computer science, and software engineering, Sirish brings expertise in generative AI, agentic workflow, natural language processing, machine learning, and synthetic data to help evolve our products and programs. He has led the design and deployment of several AI-powered platforms that enable behavioral diagnostics, leadership modeling, and personalized insights at scale. His recent efforts focus on transforming leadership development through full-stack AI solutions from backend modeling and cloud-based infrastructure to interactive front-end tools.

Educational Background

Sirish has an MS in Statistics from West Virginia University and a BS in Computer Science from Fairmont State University, West Virginia.

Areas of Expertise

Innovation & Creativity Networking

Machine Learning
Software Prototyping
Topological Data Analysis

More About Sirish

Download CV | LinkedIn Profile

Insights From Sirish

Article

Windows for Transformation: Seizing Opportunity in Polycrisis 

Our research shows how polycrisis creates transformation windows across interconnected systems. We offer guidance to help organizations recognize, capture, and sustain change.

Research From Sirish

Journal Publication

When More Is Less: The Role of Social Capital in Managing Talent in Teams

Learn how too much talent can hurt performance; align team workflows and connection patterns with star levels to boost results and overcome diminishing returns.

Research Paper

From Crisis to Transformation: Leveraging Telemedicine to Drive Healthcare System Change in an Age of Polycrisis

Leverage this research on the rapid transformation of telemedicine during the COVID-19 polycrisis to gain critical insights on how leadership can overcome entrenched institutional resistance and drive sustainable, multi-system organizational change.

Journal Publication

Applying Data Science to Leadership Research: The Case of Synthetic Data

New research in the Journal of Business and Psychology shows the benefits of applying synthetic data modeling to 360 assessment data. While providing 2 demonstrations of synthetic data models and a framework for applying these models, the authors point toward several opportunities for future applications, highlighting the power of leveraging multiple disciplines in the pursuit of new insights.