Katya Scheinberg is a Russian-American applied mathematician known for her research in

continuous optimization Continuous optimization is a branch of optimization in applied mathematics. As opposed to discrete optimization, the variables used in the objective function are required to be continuous variables—that is, to be chosen from a set of ...

and particularly in derivative-free optimization. She is a professor in the School of Industrial and Systems Engineering at

Georgia Institute of Technology The Georgia Institute of Technology (commonly referred to as Georgia Tech, GT, and simply Tech or the Institute) is a public university, public research university and Institute of technology (United States), institute of technology in Atlanta, ...

Education and career

Scheinberg was born in

Moscow Moscow is the Capital city, capital and List of cities and towns in Russia by population, largest city of Russia, standing on the Moskva (river), Moskva River in Central Russia. It has a population estimated at over 13 million residents with ...

. She completed a bachelor's and master's degree in computational mathematics and cybernetics at

Moscow State University Moscow State University (MSU), officially M. V. Lomonosov Moscow State University,. is a public university, public research university in Moscow, Russia. The university includes 15 research institutes, 43 faculties, more than 300 departments, a ...

in 1992, and earned a Ph.D. in

operations research Operations research () (U.S. Air Force Specialty Code: Operations Analysis), often shortened to the initialism OR, is a branch of applied mathematics that deals with the development and application of analytical methods to improve management and ...

Columbia University Columbia University in the City of New York, commonly referred to as Columbia University, is a Private university, private Ivy League research university in New York City. Established in 1754 as King's College on the grounds of Trinity Churc ...

in 1997. Her dissertation, ''Issues Related to Interior Point Methods for Linear and Semidefinite Programming'', was supervised by

Donald Goldfarb Donald Goldfarb (born August 14, 1941 in New York City) is an American mathematician, best known for his works in mathematical optimization and numerical analysis. Biography Goldfarb studied Chemical Engineering at Cornell University, earning a B ...

. Scheinberg worked for

IBM Research IBM Research is the research and development division for IBM, an American Multinational corporation, multinational information technology company. IBM Research is headquartered at the Thomas J. Watson Research Center in Yorktown Heights, New York ...

at the Thomas J. Watson Research Center from 1997 until 2009. After working as a research scientist at Columbia University and as an adjunct faculty member at

New York University New York University (NYU) is a private university, private research university in New York City, New York, United States. Chartered in 1831 by the New York State Legislature, NYU was founded in 1832 by Albert Gallatin as a Nondenominational ...

, she joined the Lehigh faculty in 2010. Scheinberg became Wagner Professor at Lehigh in 2014. In 2019 she moved to

Cornell University Cornell University is a Private university, private Ivy League research university based in Ithaca, New York, United States. The university was co-founded by American philanthropist Ezra Cornell and historian and educator Andrew Dickson W ...

where she was a professor in the School of Operations Research and Information Engineering. In July 2024 she moved to Georgia Tech. Scheinberg has been editor-in-chief of the SIAM-MOS Book Series on Optimization since 2014, and was the editor of ''Optima'', the newsletter of the Mathematical Programming Society, from 2011 to 2013.

Research

Scheinberg works on the intersection of optimization and machine learning, in particular on kernel

support vector machine In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis. Developed at AT&T Bell Laborato ...

s. With Andrew R. Conn and Luís Nunes Vicente, Scheinberg authored the book ''Introduction to Derivative Free Optimization'' (SIAM Press, 2008).

Recognition

In 2015, with Conn and Vicente, she won the Lagrange Prize in Continuous Optimization of the Mathematical Optimization Society and

Society for Industrial and Applied Mathematics Society for Industrial and Applied Mathematics (SIAM) is a professional society dedicated to applied mathematics, computational science, and data science through research, publications, and community. SIAM is the world's largest scientific soci ...

for their book. The Prize citation wrote that "A small sampling of the direct impact of their work is seen in aerospace engineering, urban transport systems, adaptive meshing for partial differential equations, and groundwater remediation." In 2019, Professor Scheinberg was awarded the Farkas Prize by the Optimization Society in the

Institute for Operations Research and the Management Sciences The Institute for Operations Research and the Management Sciences (INFORMS) is an international society for practitioners in the fields of operations research Operations research () (U.S. Air Force Specialty Code: Operations Analysis), often s ...

(INFORMS). In 2022 she was named a Fellow of INFORMS, "for outstanding research contributions to continuous optimization, particularly derivative-free optimization and the interface of optimization and machine learning, as well as outstanding service and leadership".

References

External links

* {{DEFAULTSORT:Scheinberg, Katya Year of birth missing (living people) Living people 21st-century American mathematicians Russian mathematicians Russian women mathematicians Women mathematicians Operations researchers Moscow State University alumni Columbia School of Engineering and Applied Science alumni IBM employees Lehigh University faculty Cornell University faculty Fellows of the Institute for Operations Research and the Management Sciences