Julio C. Facelli, Ph.D.

Vice Chair, Department of Biomedical Informatics

Research Interests

  • Crystal Structure Prediction (CSP) of Pharmaceutical Drugs
  • Distributed Information Systems for Clinical and Translational Research
  • Data Mining in Biomedical Informatics
  • Informatics of Nanoscale Drug Delivery Systems for Cancer Treatment
  • Protein Structure Prediction in Neurodegenerative Diseases

Languages

  • English
  • Spanish

Academic Information

  • Departments: Biomedical Informatics - Professor

Academic Office Information

  • (801) 581-4080
  • Biomedical Informatics
    421 Wakara Way, Room: Suite 140
    Salt Lake City, UT 84108

Research Statement

Facelli’s research interests are centered in the application of advance computing techniques to solve important problems in the biomedical domain. The projects in his research group use similar computational infrastructure and tools to maximize the synergy among projects, benefiting the students, postdocs and faculty in the group who are exposed to a variety of biomedical problems that are addressed by a common set of computational approaches. The principal research projects currently underway in his group are: Crystal Structure Prediction (CSP) of Pharmaceutical Drugs, Distributed Information Systems for Clinical and Translational Research, Informatics of Nanoscale Drug Delivery Systems for Cancer Treatment, Protein Structure Prediction in Neurodegenerative Deceases and Data Mining in Biomedical Informatics.

Academic Bio

Dr. Facelli was born in Buenos Aires, Argentina and attended the University of Buenos Aires where he got his Ph.D in physics in 1982. In 1993 he did post-doctoral research at the University of Arizona and the following year he joined the University of Utah. At the University of Utah he was the Director of the Center for High Performance Computing from 1995 to 2013 and he is currently, Professor and Vice Chair of the Department of Biomedical Informatics, Director of Biomedical Informatics, Center for Clinical and Translational Science, Adjunct Professor of Chemistry and Physics and member of the Institute for Clean and Safe Energy and the Utah Nano Science Institutes. Dr. Facelli has been involved in numerous computer and network related research projects and in many University and national committees dealing with Information Technology. He has extensive expertise in computational sciences, parallel and distributed computing and advance network applications. Dr. Facelli is co-author of more than 190 international per review publications and his research has been funded by NSF, NIH and DOE. Dr. Facelli served as Chair of the Coalition for Scientific Computing (CASC) during 2003 and 2004. He is referee for numerous international publications and funding agencies and has participated in advisory panels at NSF and NIH. He has taught classes in Physics, Chemistry, Computational Sciences, Telecommunications and Medicine. His current research interest are in parallel and distributed computing applications in biomedical informatics.

For more information regarding Dr. Julio C. Facelli, please visit his web page at : http://home.chpc.utah.edu/~facelli/index.html

Education History

Type School Degree
Doctoral Training University of Buenos Aires
Physics
Ph.D.
Undergraduate University of Buenos Aires
Physics
Licenciado

Global Impact

Education History

Type School Degree Country
Doctoral Training University of Buenos Aires
Physics
Ph.D. Argentina
Undergraduate University of Buenos Aires
Physics
Licenciado Argentina

Selected Publications

Journal Article

  1. A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics.He S, Narus SP, Facelli JC, Lau LM, Botkin JR, Hurdle JF (2014). A domain analysis model for eIRB systems: addressing the weak link in clinical research informatics. J Biomed Inform, 52, 121-9.
  2. Automatic extraction of nanoparticle properties using natural language processing: NanoSifter an application to acquire PAMAM dendrimer properties.Jones DE, Igo S, Hurdle J, Facelli JC (2014). Automatic extraction of nanoparticle properties using natural language processing: NanoSifter an application to acquire PAMAM dendrimer properties. PLoS One, 9(1), e83932.
  3. Data model, dictionaries, and desiderata for biomolecular simulation data indexing and sharing.Thibault JC, Roe DR, Facelli JC, Cheatham TE 3rd (2014). Data model, dictionaries, and desiderata for biomolecular simulation data indexing and sharing. J Cheminform, 6(1), 4.
  4. Development of a HIPAA-compliant environment for translational research data and analytics.Bradford W, Hurdle JF, LaSalle B, Facelli JC (2014). Development of a HIPAA-compliant environment for translational research data and analytics. J Am Med Inform Assoc, 21(1), 185-9.
  5. Lund AM, Orendt AM, Pagola GI, Ferraro MB, Facelli JC (2013). Optimization of Crystal Structures of Archetypical Pharmaceutical Compounds: A Plane-Wave DFT-D Study Using Quantum Espresso. Cryst Growth Des, 13(5), 2181-2189.
  6. iBIOMES: managing and sharing biomolecular simulation data in a distributed environment.Thibault JC, Facelli JC, Cheatham TE 3rd (2013). iBIOMES: managing and sharing biomolecular simulation data in a distributed environment. J Chem Inf Model, 53(3), 726-36.
  7. Nanoinformatics: developing new computing applications for nanomedicine.Maojo V, Fritts M, Martin-Sanchez F, De la Iglesia D, Cachau RE, Garcia-Remesal M, Crespo J, Mitchell JA, Anguita A, Baker N, Barreiro JM, Benitez SE, De la Calle G, Facelli JC, Ghazal P, Geissbuhler A, Gonzalez-Nilo F, Graf N, Grangeat P, Hermosilla I, Hussein R, Kern J, Koch S, Legre Y, Lopez-Alonso V, Lopez-Campos G, Milanesi L, Moustakis V, Munteanu C, Otero P, Pazos A, Perez-Rey D, Potamias G, Sanz F, Kulikowski C (2012). Nanoinformatics: developing new computing applications for nanomedicine. Comput Sci Eng, 94(6), 521-539.
  8. Identification of pneumonia and influenza deaths using the Death Certificate Pipeline.Davis K, Staes C, Duncan J, Igo S, Facelli JC (2012). Identification of pneumonia and influenza deaths using the Death Certificate Pipeline. BMC Med Inform Decis Mak, 12(1), 37.
  9. Characterization of uncertainty in the classification of multivariate assays: application to PAM50 centroid-based genomic predictors for breast cancer treatment plans.Ebbert MT, Bastien RR, Boucher KM, Martin M, Carrasco E, Caballero R, Stijleman IJ, Bernard PS, Facelli JC (2011). Characterization of uncertainty in the classification of multivariate assays: application to PAM50 centroid-based genomic predictors for breast cancer treatment plans. J Clin Bioinforma, 1(1), 37.
  10. Chemical shift tensors: theory and application to molecular structural problems.Facelli JC (2011). Chemical shift tensors: theory and application to molecular structural problems. Prog Nucl Magn Reson Spectrosc, 58(3-4), 176-201.
  11. SaTScan on a Cloud: On-Demand Large Scale Spatial Analysis of Epidemics.LID - 10.5210/ojphi.v2i1.2910 [doi]LID - ojphi.v2i1.2910 [pii]Price RC, Pettey W, Freeman T, Keahey K, Leecaster M, Samore M, Tobias J, Facelli JC (2010). SaTScan on a Cloud: On-Demand Large Scale Spatial Analysis of Epidemics.LID - 10.5210/ojphi.v2i1.2910 [doi]LID - ojphi.v2i1.2910 [pii]. Online J Public Health Inform, 2(1).