As a college student in Serbia with a passion for math and physics, Ana Trišović found herself drawn to computer science and its practical, problem-solving approaches. It was then that she discovered MIT OpenCourseWare, part of MIT Open Learning, and decided to study a course on Data Analytics with Python in 2012 — something her school didn’t offer.
That experience was transformative, says Trišović, who is now a research scientist at the FutureTech lab within MIT’s Computer Science and Artificial Intelligence Laboratory.
“That course changed my life,” she says. “Throughout my career, I have considered myself a Python coder, and MIT OpenCourseWare made it possible. I was in my hometown on another continent, learning from MIT world-class resources. When I reflect on my path, it’s incredible.”
Over time, Trišović’s path led her to explore a range of OpenCourseWare resources. She recalls that, as a non-native English speaker, some of the materials were challenging. But thanks to the variety of courses and learning opportunities available on OpenCourseWare, she was always able to find ones that suited her. She encourages anyone facing that same challenge to be persistent.
“If the first course doesn’t work for you, try another,” she says. “Being persistent and investing in yourself is the best thing a young person can do.”
In her home country of Serbia, Trišović earned undergraduate degrees in computer science and mechanical engineering before going on to Cambridge University and CERN, where she contributed to work on the Large Hadron Collider and completed her PhD in computer science in 2018. She has also done research at the University of Chicago and Harvard University.
“I like that computer science allows me to make an impact in a range of fields, but physics remains close to my heart, and I’m constantly inspired by it,” she says.
MIT FutureTech, an interdisciplinary research group, draws on computer science, economics, and management to identify computing trends that create risk and opportunities for sustainable economic growth. There, Trišović studies the democratization of AI, including the implications of open-source AI and how that will impact science. Her work at MIT is a chance to build on research she has been pursuing since she was in graduate school.
“My work focuses on computational social science. For many years, I’ve been looking at what’s known as ‘the science of science’ — investigating issues like research reproducibility,” Trišović explains. “Now, as AI becomes increasingly prevalent and introduces new challenges, I’m interested in examining a range of topics — from AI democratization to its effects on the scientific method and the broader landscape of science.”
Trišović is grateful that, way back in 2012, she made the decision to try something new and learn with an OpenCourseWare course.
“I instantly fell in love with Python the moment I took that course. I have such a soft spot for OpenCourseWare — it shaped my career,” she says. “Every day at MIT is inspiring. I work with people who are excited to talk about AI and other fascinating topics.”
