Marieta Pehlivanova received her Ph.D. in Psychology at Penn and was co-mentored by Ted and close collaborator Joseph Kable. Among her other work, Marieta demonstrated that impulsive choice in adolescents is associated with thinner cortex, especially in regions important for reward-based decision making (Pehlivanova et al., JNeurosci 2018). Marieta is now a Senior Research Scientist at the Division of Perceptual Studies at the University of Virginia School of Medicine.
Senior Research Scientist
Marieta Pehlivanova, Ph.D.
University of Virginia
Angel Garcia de La Garza completed his undergraduate training in statistics at Penn, and was a data analyst in the lab for two years. He quickly grew to be an in-house statistical expert, developing particular expertise in analysis of longitudinal data with mixed models, and nonlinear developmental data with general additive models. To facilitate the application of these complex models to high-dimensional neuroimaging data, he developed an R package-- `voxel` -- which is available in CRAN. In addition to this, Angel contributed to and was co-author on an additional five papers from the lab. Angel is now a Ph.D. candidate in Biostatistics at Columbia University.
Ph.D. Student in Biostatistics
Angel Garcia de la Garza
Columbia University (New York)
Shi Gu completed his Ph.D. in the lab of close collaborator Dani Bassett. As a graduate student, he was incredibly productive, including the first application of network control theory to neuroimaging data (Gu et al., Nature Communications, 2015). As he transitioned to a post-doc position in Ted's lab, he completed a study defining normative network development (Gu et al., PNAS, 2015). Later, Shi used functional hypergraphs to examine development of brain connectivity (Gu et al., Human Brain Mapping, 2017). Dr. Gu's post-doc ended when he was the youngest recipient ever of the won the hyper-competitive "1000 Talent's" mechanism in China, which allowed him to start his laboratory as a Professor in the University of Electronic Science and Technology of China in Chengdu. Subsequently, he was recognized as one of Forbes China "30 Under 30".
Professor of Engineering
Shi Gu, Ph.D.
University of Electronic Science and Technology of China
Natalie was a clinical research coordinator for Ted and Dan Wolf for four years. During her time in the lab, she was responsible for a series of NIH-funded studies on how abnormalities in the brain's reward system are associated with mental illnesses such as schizophrenia, bipolar disorder, and depression. Through her hard work on these studies, she contributed to four publications. She is now a student in the joint MD / MBA program at KCU.
Joint MD / MBA Program
Kansas City University of Medicine and Biosciences
Rastko Ciric was a data analyst in the lab for three years, where he was one the primary people responsible for processing the multi-modal imaging data of the Philadelphia Neurodevelopmental Cohort. To accomplish this huge task, Rastko designed and built a new image processing pipeline system – the eXtensible Connectivity Pipelines. Rastko used this system to conduct a rigorous benchmarking analysis of 14 different denoising strategies to mitigate motion artifact in studies of functional connectivity; this paper was one of the top 3 most-cited papers in Neuroimage in 2017. Subsequently, he provided further details for these procedures in a dedicated protocol paper (Ciric et al., Nature Protocols 2018). In addition to these major projects which he lead, Rastko supported (and was co-author) on an additional 13 papers. He is now a Ph.D. candidate in Bioengineering at Stanford University.
Ph.D. student in Bioengineering
Dr. Antonia Kaczkurkin completed her postdoctoral fellowship in the lab from 2015-2019. Prior to joining the lab, she received her Bachelor of Science degree in psychology from the University of Arizona, summa cum laude. She received her Master of Arts and Ph.D. degrees in clinical psychology from the University of Minnesota, where she was a National Science Foundation (NSF) Graduate Research Fellow. Her research in the lab focused on using multi-modal neuroimaging and machine learning tools to understand dimensions of psychopathology across discrete categorical diagnoses. She was incredibly productive, with three first-author papers in Biological Psychiatry, as well as first author papers in The American Journal of Psychiatry, Molecular Psychiatry, and Cerebral Cortex. While in the lab, she successfully competed for a NIMH Research Supplement to Promote Diversity, NARSAD Young Investigator Award, and a NIMH K99/R00 Pathway to Independence Award. She is now an Assistant Professor of Psychology at Vanderbilt University.
Assistant Professor of Psychology
Nick completed a research rotation in the lab while he was the Chief Resident at the Center for Addiction and Mental Health in Toronto, where he is mentored by Aristotle Voineskos. He started a new collaboration between the labs, applying machine learning techniques to a clinical trial that integrated neuroimaging. After a extremely succesful rotation, he returned to Toronto, where he is transitioning to a faculty position.
Research Fellow & Attending Physician
Centre for Addiction and Mental Health
After Simon Vandekar completed his undergraduate work at Penn State, he joined the lab as a data analyst. While also teaching himself advanced statistics on the side, he became an incredibly productive member of the lab. By the time he left three years later to join the lab of close collaborator Taki Shinohara as a graduate student, he had contributed to seven publications. Notably, he lead a study that described how cortical thinning is governed in part by the sulcal topology of the cortex (Vandekar et al., J Neurosci 2015). Simon graduated with his Ph.D. in Biostatistics in 2018, and is now an Assistant Professor in Biostatistics at Vanderbilt University.
Assistant Professor of Biostatistics
Simon Vandekar, Ph.D.
Lauren Beard began working in the lab during her first year as an undergraduate at Penn. She continued to work with Ted for the next five years, including a year after graduation as a data analyst. Lauren worked on many projects including the ENIGMA consortium projects, and contributed as a co-author five of these publications. Lauren is now a Ph.D. student in Sociology at the University of Chicago.
Ph.D. Student in Sociology
University of Chicago
Ted's was very lucky that his first clinical research coordinator was Lillie Vandekar. She helped him get his lab started, and ran an imaging study examining reward system deficits across psychiatric disorders. She contributed and was a co-author on three papers during her three years in the lab. She is now finishing her doctoral training to be a clinical psychologist.
Robert earned a bachelor’s degree in Psychology at the University of Colorado Denver, where he graduated summa cum laude before joining the lab through the Post-Baccalaureate Research Education Program. Despite coming into the lab with limited technical abilities, he quickly learned to manage, process, and analyze the data from a longitudinal multimodal study. Through his quick learning and hard-work, he lead a first-author project that revealed accelerated cortical thinning within affective brain networks is associated with symptoms of irritability in youth (Jirsaraie et al., Neuropsychopharmacology 2019). He is currently working on a multi-site longitudinal study at the University of California Irvine, where he is continuing to build his skills and complete prerequisites for PhD programs in Computational Data Science.
Senior Data Analyst
After undergraduate work at Cornell and a two year stint as an NIMH IRTA, Graham completed his PhD through the Neuroscience Graduate Group. Co-mentored by Dani Bassett, Graham's work sought to use techniques from network science to understand the developing brain. He was phenomenally successful. While in the lab, he wrote three first author papers. He demonstrated that during development structural brain networks become increasingly segregated (Baum et al., Current Biology 2017). Furthermore, in a methodological paper, he showed that motion artifact can systematically bias estimates of structural brain network connectivity (Baum et al., Neuoimage 2018). Finally, he delineated that coupling between structural and functional brain networks remodels in a hierarchy-dependent manner throughout adolescence (Baum et al., PNAS 2019). In addition to these important papers, he contributed to 12 other papers in the lab, and received an NIMH F31 award. He is now a post-doctoral fellow at Harvard University in the lab of Leah Somerville.
Sage completed her bachelor’s degree in Neuroscience and Psychology at Franklin & Marshall College, where she graduated magna cum laude before joining the lab as a clinical research coordinator. Over her nearly five glorious years in the lab, she was promoted multiple times to ultimately be responsible for managing all of Dr. Satterthwaite’s studies, including training and supervising staff on clinical research interviews, cognitive testing, MRI acquisition, data management, and administrative duties. Her effectiveness, energy, and infectious positivitve attiude lead her to be awarded wthe Perelman School of Medicine Society for Clinical Research Coordination Rising Star award. This honor is given annually across all departments of the school of medicine to the single best research coordinator who has been at Penn for 5 or less years. Additionally, while at the lab, she completed her master’s degree in human development at Penn’s Graduate School of Education, and contributed to two publications. Most recently, she was promoted to be the Clinical Research Manager for the Penn-CHOP LifeSpan Brain Institute. In this role, she continues to provide clinical training and expertise for members of the lab.
Clinical Research Manager
Penn-CHOP LifeSpan Brain Institute
Prior to joining the lab, Erica completed her undergraduate work at Yale, where she studied Computer Science and Psychology. Her next stop was the NIH, where she spent 5 years in Karen Berman’s lab conducting neuroimaging research with a main focus on women's mental health and neuroendocrinology and simultaneously obtained a Master’s in Physiology and Biophysics from Georgetown University. She then traversed back up I95 to Philadelphia to go to medical school at Drexel. She was thrilled to match at Penn for psychiatry residency, where she joined the research track with Ted as her mentor. While in the lab, she studied heterogeneity in adolescent depression using machine learning, cognitive testing, and functional neuroimaging. She completed residency in 2019 and is now a psychiatry consult-liaison fellow at Massachusetts General Hospital.
Massachusetts General Hospital / Harvard University