Dr. Laski will be joining Early Signal to oversee the Telehealth Division. Dr. Laura Laski is an ObGyn from Buenos Aires, Argentina who graduated with a degree in Medicine from the Universidad Autonoma de Barcelona, Spain and trained in Public Health at the University of California, Berkeley in the US. She worked in the area of Sexual and Reproductive Health in her own country and in many countries around the world, in particular in Latin America and in Africa. She has worked at UNFPA (United Nations) in many capacities in the technical and advocacy aspects of the Sexual and Reproductive Health team in the Technical Division of UNFPA from 2010 to 2016.
Dr. Friso Postma obtained a Masters in Medical Biology with a specialization in Neurobiology from the University of Amsterdam and PhD from the Netherlands Cancer Institute on G-protein coupled receptor signaling and downstream cellular effectors. During his post-doctoral studies at Harvard Medical School (Cambridge MA) he used molecular and electrophysiological techniques to study the role of neuronal cell-cell communication through gap-junctions in retina and CNS. His broad expertise in neurobiology and specific skill set led to positions as a Senior Scientist with Seaside Therapeutics (Cambridge MA) translating science into targeted treatments for neurodevelopmental disorders (fragile-X syndrome and Autism Spectrum Disorder) and Associate Director of Electrophysiology in Psychogenics (Montvale NJ), a contract research organization. After acting as a scientific consultant and project manager for Boston-based biotech companies (SAGE therapeutics) and the Early Signal Foundation, Dr. Postma joined the Foundation team in early 2017.
Udi Rubin worked for more than 10 years in the Israeli hi-tech industry. His experience alongside growing passion towards life sciences led Udi to pursue graduate studies in Biotechnology from Columbia University. In his research, Udi collaborated in developing data-driven computational frameworks for cancer genomics using topological data analysis and inferential statistics. Leveraging his mixed technological, analytical and life science background, Udi joined the Foundation in 2016, where he is developing Early Signal’s analytical platform, and overseeing all IT requirements.
Dr. Tabak earned his Civil Engineering degree with specialization in Hydraulics from the University of Buenos Aires and his Ph.D. in Mathematics from MIT. After two years as a postdoctoral fellow in Princeton, he joined the Math Department at NYU's Courant Institute of Mathematical Sciences, where he has been Professor of Mathematics for the last 22 years, 5 of them as Departmental Chair. Dr. Tabak's work in Applied Mathematics has included Fluid Dynamics, Atmosphere-Ocean Science, Optimization and Data Analysis, with the latter at the core of his current research. He has performed consulting work which includes work for Axioma, Morgan Stanley and NYC’s Board of Education.
Dr. Rotstein received his Bachelor of Science in Chemistry, Universidad Nacional del Sur, Argentina in 1989, a Master of Science and Doctor in Philosophy, both in Applied Mathematics, in the Technion, Israel in 1994 and 1998, respectively. His research focuses mainly on the study of the biophysical and dynamic mechanisms underlying the generation of rhythmic oscillatory activity in the brain, particularly in the hippocampus and entorhinal cortex. The primary goal of his research is to study the biophysical and dynamic principles that govern the generation of brain rhythmic activity and the relation between rhythmic activity disruption and diseases.
Dr. Shokhirev received a Master of Science Degree in theoretical physics from Novosibirsk State University, Russia, and his Doctor of Philosophy degree in Physics and Mathematics from the Russian Academy of Sciences, Novosibirsk. Dr. Shokhirev has conducted research in quantum mechanics, magnetic spectroscopy, econophysics, stochastic processes and kinetics. He has also been involved in data analysis and processing in pulse spectroscopy, indirect measurements and remote sensing, scientific, engineering and financial data. He has published over 70 papers in those fields. Dr. Shokhirev join the Foundation to apply his data science skills to the emerging area of remote health monitoring and healthcare.
Carlos received his Bachelor of Science in Applied Mathematics in 2012 from the Instituto Tecnológico Autónomo de México. Carlos then worked for Sinnia until 2015 and then joined the eScience Institute, University of Washington, as Data Science for Social Good Fellow, where he worked on data science projects using data from urban environments, public health, sustainable urban planning, crime prevention, education, transportation, and social justice. Carlos obtained a M. Sc. In Data Science from Columbia University in the City of New York in 2016.