Peter J. Tonellato, earned his BS in mathematics from the University of Puget Sound, an MS in applied mathematics from the University of Arizona, and following study at both the University of Oxford and Hiroshima University, a Ph.D. in Applied Mathematics from the University of Arizona.
Past positions include Associate Professor, Department of Mathematics, Marquette University and (founding) Director, Bioinformatics Research Center, Medical College of Wisconsin. His work at MCW included the creation of the Rat Genome Database (rgd.mcw.edu), the first disease-centric repository of phenotype and genetic data and the Program in Genomic Applications (pga.mcw.edu) data mining system for a heterogeneous collection of phenotypes, microarray expression and genotypes.
In the early 2000s, Dr. Tonellato founded and was Chairman of POINTONE Systems, LLC, the first personalized medicine software company that provided genetic enabled ‘best practice’ clinical decision support systems to hospitals and health care facilities. He headed the company fulltime for three years before returning to academia in 2007.
Currently, Professor Tonellato has a joint appointment with Harvard Medical School as director of the Laboratory for Personalized Medicine (LPM) at the Center for Biomedical Informatics (lpm.hms.harvard.edu) and the Zilber School of Public Health, University of Wisconsin, Milwaukee where he directs the Laboratory for Public Health Informatics and Genomics (LPHIG) and Professor of Computer Science in the College of Engineering and Applied Science and of Health Informatics in the College of Health Sciences. The LPM and LPHIG labs develop strategies, methods, bioinformatic tools, and analyses to study and test the accuracy and clinical efficacy of genetic discoveries and accelerate their translation to practical clinical use. LPM and LPHIG design and execute insilico experiments to explore and solve barriers to translation from discovery to clinical use to public health. Dr. Tonellato’s most recent work includes the creation of ‘clinical avatars’ used to simulate realistic patient populations and provide a collection of electronic medical records used to test the efficacy of genetic data, accuracy of predictive algorithms, and to conduct clinical trial simulations. The LPM was the first biomedical research lab to establish all computational systems and services ‘on the cloud’ implemented on Amazon’s AWS environment.