Page 20 - CBAC Newsletter 2015
P. 20

Growing Up: From Hungary to New York
        to St. Louis


        I grew up in Budapest and was always
        curious about how things worked and I
        liked math. After the 1956 Hungarian
        Revolution and 2+ years in Austria, we
        immigrated to the US to Brooklyn NY in
        1959, where, I later attended Brooklyn
        Technical High School – one of NYCs
        special high schools. My career choice
        was influenced by my exposure as an
        undergrad in ’analytical’ engineering to
        faculty at Cornell and as a grad student,
        initially in Theoretical and Applied
        Mechanics and later in Theoretical Physics
        at Caltech. As a student of Kip S Thorne,
        my PhD thesis concerned the generation
        of gravitational waves.  However, while at
        Caltech, I also learned the value of
        mathematical (theoretical)  approaches to
        solving problems in the life sciences from
        the work of one of my teachers, George
        Zweig. Although he was a theorist – and
        independently invented what is now called
        the quark model (he called them Aces), he
        made seminal advances in the
        understanding of cochlear mechanics and
        physiology by discovering what he called
        the ‘cochlear transform’. What he actually   Sándor J. Kovács (center) and members of his research group. Front row L to
                                                   R: Nigel Hussain, Keshav Kohli. Standing, L to R: Mikhail Golman, Sándor J.
        did was independently discover wavelets    Kovács, Leonid Shmuylovich
        based on analysis of the behavior/
        characteristics/ properties of a well-defined biophysical system. In my view that was very, very exciting and provided
        compelling evidence to me for the existence of a deep relationship between mathematical physics and life scienc-
        es, beyond Wigner’s 1960 observation regarding “The Unreasonable Effectiveness of Mathematics in the Natural
        Sciences."
        I chose cardiology because it allows for mathematical modeling of a dynamic/kinematic physiologic system. I learned
        quickly that in medicine pattern recognition is valuable, even if mechanistic understanding is incomplete.  This
        provided a fertile realm for using mechanistic and causality-based approaches in identifying and solving practical
        problems in basic science/physiology with immediate clinical translation into the clinical realm.


        With the advice I received from Eric Reiss MD at the University of Miami’s ‘PhD to MD Program’ where I trained, and
        because of the quality of the Wash. U. faculty, I joined the faculty at Washington University in St. Louis in 1985.


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