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As a Serbian college student’s passion for mathematics and physics, Ana Trišović found himself attracted by computer science and its practical, problem-solving methods. At that time, she discovered MIT Opencourseware, a part of MIT Opencourseware, and decided to study courses on data analytics with Python in 2012, which her school did not offer.
The experience was transformative, said Trišović, who is now a research scientist at FutureTech lab in MIT’s computer science and artificial intelligence lab.
“That course changed my life,” she said. “I thought I was a Python encoder throughout my career, and MIT’s OpenCourseware made it possible. I was in my hometown on another continent, learning from MIT’s world-class resources. It was incredible when I reflected on my path.”
Over time, Trišović’s path led her to explore a range of OpenCourse software resources. As non-native English speakers, some of the materials were challenging. But, thanks to the various courses and learning opportunities on OpenCourseware, she was always able to find the right course for her. She encourages anyone who faces the same challenges to persevere.
“If the first course doesn’t work for you, try another course,” she said. “Perseverance and investment are the best things young people can do.”
In her native Serbia, Trišović received her undergraduate degree in computer science and mechanical engineering before heading to Cambridge University and Cern, where she contributed to her work on the Large Hadron Collider and completed her PhD in computer science in 2018. She also completed research at the University of Chicago and Harvard University.
“I love that computer science has enabled me to make an impact in a range of fields, but physics is still close to me and I’ve been inspired by it,” she said.
MIT FutureTech, an interdisciplinary research group, draws on computer science, economics and management to identify computational trends that bring risks and opportunities to sustainable economic growth. There, Trišović looked at the democratization of artificial intelligence, including the implications of open source AI and how it affects science. Her work at MIT is an opportunity for research she has been doing since she was in graduate school.
“My work focuses on computational social sciences. For years, I have been working on what is called ‘scientific science’ – researching issues like repeatability in research,” Trišović explained. “Now, as AI becomes more common and introduces new challenges, I am interested in examining a range of topics – from democratization of AI to its impact on scientific methods and the broader scientific landscape.”
Trišović is grateful that back in 2012, she decided to try something new and learn through the OpenCourseware course.
“I fell in love with Python the moment I took this course. I had such a special liking for Opencourseware that it affected my career,” she said. “At MIT, every day is inspiring. I work with people who are happy to talk about AI and other interesting topics.”