Researcher · The University of Texas at Austin

Lorenzo Confalonieri

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.

Lorenzo Confalonieri, smiling outdoors in front of trees and a walkway, wearing a grey polo shirt.
Physics. Robotics. Better imaging.Austin, TX
Robotic-assisted adaptive nuclear medical imagingExplore my research ↓

01 / Background & academic journey

About Me

Ph.D. student at UT Austin exploring robotics, nuclear imaging, and theranostics

10+
Publications
7
Citations
1
h-index

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.

Research Interests

  • Robotic-assisted Adaptive Nuclear Medical Imaging
  • SPECT Imaging
  • Theranostics
  • Radioisotope Production
  • Health Physics
  • Quantum Deep Learning
  • Monte Carlo Simulations
  • Reinforcement Learning
  • Agentic Scientific Discovery

Academic Journey

  1. August 2024 — Present

    Ph.D. research in Mechanical Engineering

    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.

  2. July 2023

    M.Sc. in Physics

    Università degli Studi di Milano

    Graduated with maximum grades and honors. Thesis on optimizing terbium radioisotope production for theranostic applications in medicine.

  3. September 2022 — October 2023

    Graduate Research Assistant

    National Institute for Nuclear Physics (INFN)

    Studied proton-induced nuclear reactions for terbium production, radiation detection, and science outreach.

  4. July 2021

    B.Sc. in Physics

    Università degli Studi di Milano

    Graduated with maximum grades and honors. Thesis on a quantum classifier for particle detector images.

02 / Research

Research and Interest Areas

Exploring robotic imaging, agentic scientific discovery, radioisotopes, and computational methods

Robotic-Assisted Adaptive Nuclear Medical Imaging

Developing robotic SPECT imaging systems for adaptive, reconfigurable tomographic applications — improving imaging performance and enabling personalized diagnostics.

Agentic Scientific Discovery

Exploring agentic workflows that connect scientific literature, hypothesis generation, experiment planning, and analysis into an iterative discovery process.

Theranostics & Radioisotope Production

Investigating radioisotope production and characterization, including measurements of fundamental nuclear physics data, for diagnostic imaging and therapeutic applications.

Quantum & Computational Methods

Exploring quantum computing, machine learning, Monte Carlo simulations, and scientific computing to support modeling, analysis, and discovery in physics and medicine.

03 / Selected work

Publications

Selected journal articles, conference papers, and preprints

Towards the Implementation of a Quantum Classifier

L. Confalonieri

arXiv:2606.10150 · 2026 Preprint

Experimental Cross-Section Measurement of the Nuclear Reactions Induced by Protons on ¹⁵⁹Tb: Evaluation of the ¹⁵⁵Dy/¹⁵⁵Tb Precursor System

M. Colucci, F.C. Bolchini, L. Confalonieri, F. Haddad, E. Nigron, F. Groppi, S. Manenti

Journal article Radiation Physics and Chemistry 224, 112069 · 2024 Cited by: 7

Development of a Robotic SPECT Imaging System for Adaptive Nuclear Imaging

L. Confalonieri, F. Alambeigi, E.M. Zannoni

Conference paper 2025 IEEE Nuclear Science Symposium, Medical Imaging Conference · 2025

Development of a Robot-Assisted Platform for Adaptive and Reconfigurable SPECT Imaging

L. Confalonieri, F. Alambeigi, E.M. Zannoni

Conference abstract Journal of Nuclear Medicine 66 (supplement 1), 251293 · 2025

Development of a Miniaturized Nuclear Imaging Capsule for Minimally Invasive Molecularly Targeted Cancer Surgery

K. Patel, L. Confalonieri, L. O'Fallon, S. Galvez, A. Whittemore, N. Ikoma, E.M. Zannoni

Conference abstract Journal of Nuclear Medicine 66 (supplement 1), 251868 · 2025

Particle Therapy International Masterclass: the Italian Experience

M. Colucci, L. Confalonieri, F. Groppi, et al.

Journal article Giornale di Fisica Vol. LXIII, N. 4 · 2022
View all publications on Google Scholar

04 / Research on the road

Conference Travels

Sharing research, exchanging ideas, and connecting with the scientific community around the world.

Explore the cities. Select a marker to view a conference.

Explore the conference details in the cards below.

Utah, USA

Salt Lake City

World Molecular Imaging Congress (WMIC 2026)

Shared research on robotic-assisted adaptive nuclear medical imaging and the robotic imaging platform.

Oral presentation
Texas, USA

Austin

REAL Health AI 2026

Presented robotic-adaptive SPECT imaging optimized via an agentic approach.

Poster presentation
Japan

Yokohama

IEEE NSS / MIC / RTSD

Presented the development of a robotic SPECT imaging system for adaptive nuclear imaging.

Oral presentation
California, USA

Berkeley

IEEE SORMA

Presented a robot-assisted collimated nuclear imaging platform for adaptive tomographic applications.

Oral presentation
Louisiana, USA

New Orleans

SNMMI Annual Meeting

Presented a robot-assisted platform for adaptive and reconfigurable SPECT imaging.

Poster presentation
Italy

Salerno

109th Congress of the Italian Physical Society

Presented research on optimizing terbium radioisotope production for medical applications.

Oral presentation

05 / Connect

Get in Touch

Interested in collaboration or have questions? Feel free to reach out.

Connect with Me

I'm always open to discussing new research opportunities, collaborations, or just connecting with fellow researchers and enthusiasts.

lorenzo.confalonieri@austin.utexas.edu