Danila Barskiy

Danila Barskiy is an Associate Professor of Chemistry and a member of the Frost Institute for Chemistry and Molecular Sciences at the University of Miami. He earned his PhD at Novosibirsk State University, completed postdoctoral training at Vanderbilt University and UC Berkeley, and previously led an independent research group in Mainz, Germany. His laboratory develops quantitative NMR and MRI methodologies that integrate hyperpolarization, benchtop, low-field, and zero-to-ultralow-field (ZULF) detection and quantum sensing, combining hands-on instrument/method development with modeling and experimental design. He is a recipient of the Sofja Kovalevskaja Award, the Erwin Schrödinger Prize of the Helmholtz Centers, and the 2025 Varian Young Investigator Award.

CV

Vasily Vorobyev

I earned my PhD in Photochemistry from Bowling Green State University in Ohio, where I investigated the ultrafast pump–probe dynamics of inorganic complexes. I then completed postdoctoral training at Virginia Tech, focusing on time-resolved spectroscopy of molecular materials and MOFs. My research combines experimental spectroscopy with computational chemistry, including DFT calculations, to gain molecular-level insight into photophysical and photochemical processes. I also enjoy developing scripts and computational tools for data processing, analysis, and visualization to streamline research workflows. In the lab, I aim to use photons to generate hyperpolarization, expanding the capabilities of NMR spectroscopy for the sensitive detection of biologically relevant molecules.

Blessing Titilayo

I aim to develop and optimize PHIP and SABRE methods to generate biocompatible hyperpolarized probes labeled with ¹³C and ¹H, with emphasis on exchange kinetics, magnetic field control, and delivery strategies. By combining engineered hyperpolarization platforms and low-field detection, I intend to advance sensitive investigation of weak protein-ligand interactions and rapid analysis of metabolites in complex samples.

Aaron Bagwell

As a pre-medical chemistry student, I am interested in applications of chemistry in the advancement of medical imaging techniques for metabolic tracking and improving diagnostic accuracy.

Faith Ambaye

I am particularly interested in connecting computer science with hyperpolarization-based molecular imaging to trace biomolecules for tumor detection, contributing to interdisciplinary research that potentially supports advancing neurosurgery.

Karsten Ugonna Chima

My research centers on understanding the bridge between quantum electrodynamics, spin dynamics, and chemical systems, with nuclear magnetic resonance (NMR) serving as a key experimental and theoretical framework.I also explore how artificial intelligence can augment analytical and diagnostic workflows with the goal of integrating spin physics, NMR theory, and AI-driven modeling, to develop more powerful tools for chemical analysis and precision health applications.

Aaron Jerez

I am a Chemical and Biomolecular Engineering student at the Georgia Institute of Technology. I am interested in NMR spectroscopy, pulse sequence development, and the use of artificial intelligence to enhance NMR instrumentation, data acquisition, and chemical sensing.

Jose Gonzalez

I am a Chemical Engineering student at Stanford University interested in hyperpolarization chemistry, particularly the optimization of SABRE and SABRE-relay systems. I am also interested in leveraging NMR for fragment-based drug discovery and metabolomics to expand its applications in biomedical research and therapeutic development.

Preston Yu

I am a Premed Behavioral Neuroscience and Chemistry student at FIU who’s interested in multidisciplinary research in chemistry, physics, and medicine with a focus on MRI and NMR technology research relevant to human health and neuroscience.

Vitoria Helman

I am a physics and mathematics student at University of Florida interested at the intersection of physics and chemistry in hyperpolarized NMR techniques for studying spin dynamics and molecular interactions.