University of Utah
50th in USA
85th in USA
85th in USA
46th in USA
Journal Editors at University of Utah
Reviewers from University of Utah
I was Chair of Obstetrics and Gynecology at the University of Utah for 18 years, Editor-In-Chief of Obstetrics and Gynecology for 12 years, have been Editor of several textbooks, and have been Co-Editor of Clinical Obstetrics and Gynecology for over 40 years. My fields are clinical obstetrics and gynecology including VBAC, Cesarean section, Recurrent miscarriage, and publication issues such as medical editing and evidence-based medicine.
My research is focused on mechanisms underlying risk for suicide and severe psychopathology among intentionally self-injuring adolescents. I am particularly interested in researching biological vulnerabilities for emotion dysregulation and impulsivity and understanding how these vulnerabilities interact with potentiating environmental experiences across development. Adolescent self-injurious behavior is a risk factor for eventual suicide and a potential precursor to severe adult psychopathology, including borderline personality disorder, antisocial personality disorder, and treatment-resistant depression. Among these possible outcomes, my interests lie in elucidating developmental precursors to borderline personality disorder and suicide and in the prevention of both conditions. My research is unique in that it brings a developmental psychopathology approach to the literature on BPD and suicide, including an exploration of both biological vulnerabilities and psychosocial risks. Consistent with emerging developmental psychopathology research, I am most interested in understanding the transactions between biology and experience rather than in either of these main effects alone.
Matteo Grattieri joined the group of Prof. Shelley D. Minteer at the University of Utah (USA) as Postdoctoral Research Associate in March 2016. His research interests span the fields of conductive biofilms, extracellular electron transfer and halotolerant bacteria for development of microbial fuel cells (MFC) operating in hypersaline conditions.
He was BS and MS student in Chemistry at Università degli Studi di Milano (UNIMI) focusing on Physical Chemistry/Electrochemistry topics. He obtained an Erasmus fellowship for a 5 months visiting period in 2010 at the Department of Physical Chemistry of the University of Valencia (Spain) where he performed the thesis “Electrochemical characterization of organophosphorus pesticides: Malathion Study” under the supervision of Prof. F. Vicente. During the MS course, a one-year research activity was conducted with Prof. S.P. Trasatti at UNIMI and the results were reported in the thesis “Micro-sensors applied in the study of the electrochemical mechanism of Microbial Fuel Cells”, defended in December 2012.
He obtained a Diploma Cum Laude (with Honor) for the Ph.D. degree in Industrial Chemistry and Chemical Engineering in February 2016 at Politecnico di Milano, under the supervision of Prof. M. Bestetti, Prof. S.P. Trasatti (UNIMI) and Dr. P. Cristiani (Ricerca Sistema Energetico S.p.A.) with the dissertation: “Enzymatic-Sensors for Microbial Fuel Cells: From bioelectrochemical mechanisms to electrodes development”. The Ph.D. activity was focused on the development of enzymatic sensors for Single Chamber Microbial Fuel Cell (SC-MFC) applications. During the Ph.D. he spent two visiting research periods, joining the group of Prof. P. Atanassov at University of New Mexico (NM – USA) for 5 months and the group of Prof. E.J. Calvo at University of Buenos Aires (Argentina) for 6 months.
Yanting Wang is currently a professor in the Institute of Theoretical Physics, Chinese Academy of Sciences (ITP-CAS). He received his Ph.D. in the Department of Physics and Astronomy at the University of Rochester, NY, USA in 2004. He was a postdoc at the University of Utah and Idaho National Laboratory, successively, before joining ITP-CAS.
Yanting Wang's research interests including molecular simulation techniques of soft matter, ionic liquids, peptide self-assembly, and statistical physics theories.