Ph.D. Scientists
Lisa Angelos, Ph.D.
Assistant Scientist
A126 Waisman
608-890-0233
eangelos@wisc.edu
I am interested in new ways to apply MR techniques to research in neuroscience. Currently, I am working on spectroscopy pulse sequences, scan protocols, and data processing to measure GABA, glutamate, and phenylalanine.
Alex Converse, Ph.D.
Associate Scientist / Director of microPET Imaging
T123 Waisman
608-265-6604
akconverse@wisc.edu
I study the interaction of the modulatory neurotransmitter dopamine (DA) with alterations in blood flow (rCBF) throughout the brain using neuroimaging techniques including sequential DA PET/rCBF PET, simultaneous DA PET/rCBF PET, and simultaneous DA PET/rCBF MRI. I also collaborate with other investigators in PET imaging of animal models of human neuropathologies including fetal alcohol exposure, multiple sclerosis, and sexual dysfunction. In addition, I oversee the Waisman microPET imaging facility.
Alex's Curriculum Vitae (Word)
Kim Dalton, Ph.D.
Associate Scientist
T127 Waisman
608-263-8913
Kim's website
Lisa Flook, Ph.D.
Assistant Scientist
T119 Waisman
608-265-6602
flook@wisc.edu
Lisa’s research interests are exploring prevention and early intervention strategies to promote well-being early in life. Given the negative short and long-term effects that stress has on mental and physical health, Lisa believes that mindful awareness has much to offer in helping children and adolescents improve daily well-being and cope with stress. Lisa is also involved in studying the impact of introducing mindfulness practices in educational settings.
Jee Eun Lee, Ph.D.
Assistant Scientist
T117 Waisman
608-265-2062
jeelee@wisc.edu
Antoine Lutz, Ph.D.
Associate Scientist
T231 Waisman
608-262-8705
Antoine's website
I am interested in understanding the neural counterparts to subjective experience and, more generally, the mechanisms underlying mind-brain-body interactions. More specifically, I am studying the role of large-scale neuronal integration (neural synchrony mechanisms) during various mental states (voluntary attention, emotion generation).
Donal MacCoon, Ph.D.
Assistant Scientist
A132 Waisman
608-263-1968
My primary research area is sustainable well-being (see sustainablewellbeing.org). I also study the role of attention in self-regulation. I have developed a model, Context Appropriate Balanced Attention, to describe this role and have applied and tested the model with anxiety, depression, borderline personality disorder, and most recently, to mindfulness practices.
Dhanabalan Murali, Ph.D.
Associate Scientist / PET Radiochemist
T123 Waisman
608-265-6604
dmurali@wisc.edu
John Ollinger, Ph.D.
Associate Scientist
T233 Waisman
608-265-6619
John's website
Methods group
My research interests include improving pulse sequences and analysis methods for functional magnetic resonance imaging. The approach is to select optimal acquisition strategies for existing sequences and to develop improved sequences for perfusion and rapid BOLD or T2 weighted imaging. Analysis methods are improved with better correction algorithms for subject motion and image distortion. A major non-research goal is to facilitate data analysis by supporting and developing software for data processing and analysis.
Stacey Schaefer, Ph.D.
Assistant Scientist
A127 Waisman
608-263-9321
My research questions currently revolve around the interaction/overlap between executive control and self-regulatory processes including attention, emotion, and pain regulation. In particular, I study the morphometry of and functional activity in emotion regulation-related brain circuitry, and those measures relations to individual differences in state and trait affect, cognitive ability such as working memory capacity, the ability to identify and differentiate between emotions, and the tendency to use particular emotion regulatory strategies.
Dana Tudorascu, Ph.D.
Assistant Researcher
T231 Waisman
608-263-8372
dtudorascu@wisc.edu
Dana's website
My research interests are primary on development of statistical methods for data with missing covariates. I am also interested in application of dimension reduction and time series techniques for the analysis of neuroimaging data.