Salt Lake City
World Molecular Imaging Congress (WMIC 2026)
Shared research on robotic-assisted adaptive nuclear medical imaging and the robotic imaging platform.
Oral presentationResearcher · The University of Texas at Austin
Graduate Research Assistant | Ph.D. Student in Mechanical Engineering
Cockrell School of Engineering Fellow at The University of Texas at Austin. Investigating robotic-assisted adaptive nuclear medical imaging to improve imaging performance and personalized diagnostics.
01 / Background & academic journey
Ph.D. student at UT Austin exploring robotics, nuclear imaging, and theranostics
Google Scholar · October 2026
I am a Ph.D. student in Mechanical Engineering at The University of Texas at Austin, where I am a Cockrell School of Engineering Fellow. Under the supervision of Dr. Elena Maria Zannoni, I investigate the use of robotics to enhance nuclear imaging performance and personalized diagnostics.
August 2024 — Present
The University of Texas at Austin
Graduate Research Assistant and Cockrell School of Engineering Fellow, investigating robotic-assisted adaptive nuclear medical imaging and personalized diagnostics. Ph.D. completion expected in 2028.
July 2023
Università degli Studi di Milano
Graduated with maximum grades and honors. Thesis on optimizing terbium radioisotope production for theranostic applications in medicine.
September 2022 — October 2023
National Institute for Nuclear Physics (INFN)
Studied proton-induced nuclear reactions for terbium production, radiation detection, and science outreach.
July 2021
Università degli Studi di Milano
Graduated with maximum grades and honors. Thesis on a quantum classifier for particle detector images.
02 / Research
Exploring robotic imaging, agentic scientific discovery, radioisotopes, and computational methods
Developing robotic SPECT imaging systems for adaptive, reconfigurable tomographic applications — improving imaging performance and enabling personalized diagnostics.
Exploring agentic workflows that connect scientific literature, hypothesis generation, experiment planning, and analysis into an iterative discovery process.
Investigating radioisotope production and characterization, including measurements of fundamental nuclear physics data, for diagnostic imaging and therapeutic applications.
Exploring quantum computing, machine learning, Monte Carlo simulations, and scientific computing to support modeling, analysis, and discovery in physics and medicine.
03 / Selected work
Selected journal articles, conference papers, and preprints
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View all publications on Google Scholar04 / Research on the road
Sharing research, exchanging ideas, and connecting with the scientific community around the world.
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Explore the conference details in the cards below.
World Molecular Imaging Congress (WMIC 2026)
Shared research on robotic-assisted adaptive nuclear medical imaging and the robotic imaging platform.
Oral presentationREAL Health AI 2026
Presented robotic-adaptive SPECT imaging optimized via an agentic approach.
Poster presentationIEEE NSS / MIC / RTSD
Presented the development of a robotic SPECT imaging system for adaptive nuclear imaging.
Oral presentationIEEE SORMA
Presented a robot-assisted collimated nuclear imaging platform for adaptive tomographic applications.
Oral presentationSNMMI Annual Meeting
Presented a robot-assisted platform for adaptive and reconfigurable SPECT imaging.
Poster presentation109th Congress of the Italian Physical Society
Presented research on optimizing terbium radioisotope production for medical applications.
Oral presentation05 / Connect
Interested in collaboration or have questions? Feel free to reach out.
I'm always open to discussing new research opportunities, collaborations, or just connecting with fellow researchers and enthusiasts.
lorenzo.confalonieri@austin.utexas.edu