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Linda Ow is Vice President, Total Rewards at CrowdStrike and a member of the MIT EMBA Class of 2025.

Navigating the countless opportunities at MIT can feel overwhelming, especially when it comes to charting your career path in sustainability. Streams of Study is a growing resource designed to make your journey easier, intentional, and actionable.

Amy Blasco, EMBA '18, reflects on how MIT Sloan reshaped one leader’s approach to transformation in the age of AI. Drawing on lessons from world-class faculty, this piece explores why successful transformation goes beyond strategy and technology—requiring integration across teams, data-driven decisi...

As part of MIT Sloan’s Action Learning curriculum, MIT Sloan Fellows and EMBA students took the lead on a Corporate Entrepreneurship Lab project with the Google Colab team.

Guest speaker Megan Greene of Bank of England, 4/13/2026.

A decade after building her first field-driven analytical model, Alexandra Diaz Arias, SFMBA ’26, reflects on a career spent closing the gap between technological potential and real-world impact in energy systems. At MIT Sloan, she sharpens this work into a scalable framework—one that links innovati...

Melissa Estok, EMBA ’22, entered the MIT Executive MBA with decades of global leadership experience—and a desire to sharpen it with deeper, research-driven insight. At MIT Sloan, she found a collaborative, mission-driven community and frameworks that both challenged and validated her instincts. From...

Cesar Ortiz, EMBA ’16, built a successful career in accounting and banking, rising from CPA at PwC to a senior executive at Oriental Bank, but by age 40 he knew he wanted to grow beyond technical expertise. The MIT Executive MBA transformed his mindset from precision-driven finance to strategic, sys...

MIT Sloan Reunion provides alumni the opportunity to reconnect with one another and get back into the classroom.

BPHC engaged with a team of students taking MIT IDE’s Analytics Lab (A-Lab) to explore how a wide range of non-traditional data such as weather metrics, unemployment statistics, and rental patterns can create a predictive model to forecast demand for public health services.