The Dominix Sicilian path to becoming an artificial intelligence and machine learning data scientist applied at the largest US bank began as an appeal to space.
As an undergraduate at the University of Miami, he also played temporarily on the soccer team, and the Sicilians were drawn to questions about the philosophy of the universe and the nature of existence.
“That was how I realized I wanted to do physics, especially astronomy, and I never looked back,” he said.
The Sicilian majored in physics and philosophy and continued to earn his master's and doctoral degrees. Physics at the University of Arts and Sciences. As a graduate student, he focused on astrophysics and investigated dark matter and black holes using AI applications that analyzed big data sets using AI applications such as machine learning. For example, to examine ambiguous superwalled black holes, they are difficult to observe because they are enveloped in dust and gas. Sicilian analyzed a large dataset from NASA's Chandra X-ray observatory and developed machine learning models to enhance redshift measurements.
“It really led me to data and machine learning, and that led to AI,” Sicilyan said. “It's a whole new scientific aspect for me, and the science aspect is covered by an AI umbrella that includes machine learning and these large-scale language models that we have. I thought it was a new and exciting challenge: a new type of science to pursue.”
In 2022, after he received his PhD, Sicilian worked as a data scientist at ROC360, a financial services company. Then earlier this year, he was hired as an applied AI and machine learning data scientist for JPMorgan Chase. In this role, Sicilian focuses on making traditional investment banking methods faster and more efficient using AI applications such as machine learning, and employs this cutting-edge technology to generate new insights.
“It's appealing and exciting to me to work for one of the world's largest banks and experience a whole new application of my data methods and tools,” he said.
In recent years, JPMorgan Chase has incorporated AI into many aspects of its business, including using generated AI in call centers. Sicilian is part of a team housed in investment banks and builds custom AI products specialising in that part of the JPMorgan Chase business.
He no longer works in astrophysics, but the Sicilians follow the development of this field. Over the past few years, he co-authored astrophysics papers and worked for the NASA Proposal Review Panel.
He still uses some of the same AI tools he hired as a graduate student in astrophysics, but the world of banking is far from the physics classes and laboratories where Sicilians spent much of their time at university. He said he discovered jumping into a challenging and rewarding new field.
“The biggest challenge is to step into the world of finance, far beyond my old sense of being familiar with astronomy and space,” he said. “That's also the most exciting part. I love a good challenge.”
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