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<pstyle="position:relative;top:-140px;"> I am a Machine Learning Engineer at Pantheon Data and a Research Astrophysicist at
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<pstyle="position:relative;top:-140px;"> I am a Postdoctoral Research Scholar at the Insitute of Astrophysics, Foundation for Research and Technology - Hellas (IA - FORTH; Heraklion, Crete, Greece) and a Research Scientist at
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the University of Connecticut (UConn). I got my undergraduate degree from Michigan State, where I was also a
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post-baccalaureate researcher for a year. I earned my MSc from UConn in 2022 and my PhD in 2025, during that time I was an NSF Graduate Research Fellow.
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My thesis is entitled "Timing is Everything: Single and Binary Quasars in Massive Time-Domain Surveys".
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My thesis is entitled "Timing is Everything: Single and Binary Quasars in Massive Time-Domain Surveys". After defending my thesis, I took a short break from academia to try out industry as a
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Machine Learning Engineer. While I learned at lot about machine learning methods, I was quite excited to return to my research on the photometric search for binary supermassive black holes.
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My astrophysical research interests are: massive time-domain surveys, galactic chemical
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evolution, supermassive black hole binaries, and quasar variability. I especially enjoy researching
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hypervariable targets: the weirder/more variable, the better! My general research interests revolve around creating
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