The Science of Machine Learning

Johnni Medina
January 11, 2022
three students gather around a computer screen

When you work in the digital sphere, it is easy to become disconnected. A year ago, clinical professor and former Wall Street data analyst Frank Parisi, alongside other Pace faculty, conceptualized a space where individuals with an interest in data science and machine learning could connect. “We wanted to make a central repository for all kinds of data, where we have the computational power to do interesting things, work together and collaborate across the University and, in the long-term, with outside partners for research,” said Parisi.

Now, the space has been set up, the machines moved in, and Pace’s Computational Intelligence Lab is open for business.

Computational intelligence refers to the machine learning and data analysis abilities of a computer—it’s what allows us to collect data, speak to Siri, and play the newest video game. Jon Lee, a clinical professor, was one of the architects of the lab and he believes it will be unique in what it offers.

“There are other Pace hubs that exist for design, digital forensics, and cybersecurity,” he says. “This will be a proper space for computational intelligence specifically, from Artificial Intelligence, pattern recognition and machine learning.”

“This will be a proper space for computational intelligence specifically, from Artificial Intelligence, pattern recognition and machine learning.”

Parisi notes that not only can the lab be a tutoring resource for those learning programming languages like Python and R, but it can also elevate the quality of our data scientist professionals.

“My particular favorite aspect is the development of conceptual workshops, where we cover things like probability theory, how to build models, and statistical computing,” he explains.

Having a physical lab with quality equipment also means that students and faculty engaged in deeper analysis will not have to rely on remote Google servers. Furthermore, as Lee notes, the lab will serve as “a way to get Seidenberg students engaged, active, and doing amazing things on campus, especially those who are feeling disconnected after COVID-19.” 

All in all, the Computational Intelligence Lab will empower Pace faculty and students to do what they do best—connect, innovate, and build great things for both today and tomorrow.

Want to see the Computational Intelligence Lab or learn how you can get involved? Reach out to co-directors Frank Parisi at or Yegin Genc at

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