For this computer scientist, Mit Open Learning was the beginning of a trip that changed life | MIT News

As a university student in Serbia with passion for mathematics and physics, Ana Trišović was attracted to computer science and their practical and problem -solving approaches. It was then that Mit Opencourseware discovered, part of Open MIT learning, and decided to study a course analysis with Python in 2012, something that his school did not offer.

That experience was transformative, says Trišović, who is now a research scientist at the Futuretech laboratory within the MIT artificial computer and intelligence laboratory.

“That course changed my life,” she says. “Throughout my career, I considered myself a python encoder, and Mit's Opencourse software made it possible. I was in my hometown in another continent, learning from MIT world class resources. When I reflect on my path, it is incredible.”

Over time, the Trišović path led her to explore a variety of resources of the operation articles. She remembers that, as a non -native English speaker, some of the materials were challenging. But thanks to the variety of learning courses and opportunities available in Opencourseware, it could always find others that were. She encourages anyone who opposes that same challenge to be persistent.

“If the first course does not work for you, another proves,” she says. “Being persistent and investing in yourself is the best thing a young person can do.”

In his country of origin from Serbia, Trišović obtained undergraduate titles in Computer Science and Mechanical Engineering before going to the University of Cambridge and CERN, where he contributed to work at the Great Hadron Colider and completed his doctorate in computer science in 2018. He has also investigated at the University of Chicago and Harvard University.

“I like that computer science allows me to have an impact on a variety of fields, but physics remains close to my heart, and I am constantly inspired by him,” she says.

MIT Futuretech, an interdisciplinary research group, is based on computer science, economy and management to identify computer trends that create risks and opportunities for sustainable economic growth. There, Trišović studies the democratization of ai, including the implications of open source ai and how that will affect science. His work at MIT is an opportunity to build on the research he has been doing since he was in the postgraduate school.

“My work focuses on computational social science. For many years, I have been seeing what is known as 'The science of science', investigating topics such as research reproducibility,” explains Trišvić. “Now, as IA becomes more and more frequent and introduces new challenges, I am interested in examining a variety of topics, from the democratization of ai to its effects on the scientific method and the widest panorama of science.”

Trišović is grateful that, in 2012, she made the decision to prove something new and learn with an Opencourseware course.

“I instantly fell in love with Python at the time I took that course. I have such a soft point for Opencourseware, shaped my career,” he says. “Every day at MIT is inspiring. I work with excited people to talk about ai and other fascinating issues.”