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

Amina Alhassan

My work centers on hyperpolarized NMR and MRI technologies to directly observe metabolic transformations in living cells. I am particularly interested in advancing NMR signal enhancement strategies to enable real-time, quantitative imaging of cellular metabolism and disease-associated metabolic reprogramming.

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.