Teresa Przytycka

Last updated

Teresa Maria Przytycka (born 1958) [1] is a Polish-American computational biologist who works as a senior investigator in the Computational Biology Branch of the National Center for Biotechnology Information (NCBI), where she heads the Algorithmic Methods in Computational and Systems Biology (AlgoCSB) section. [2] She started her research career in parallel algorithms; at the NCBI, her research takes a computational approach to problems in systems biology involving cancer, gene regulation, and the analysis of massive data. [3]

Contents

Education and career

Przytycka is originally from Myszków; her parents, native of the village Gorajec in eastern Poland, were well-educated in part through the Polish underground education. She studied mathematics and computer science at the University of Warsaw, [3] earning a master's degree there in 1982. [4] [5] She stayed at the university as a researcher, but took leave to become a doctoral student at the University of British Columbia (UBC), following her husband, Józef H. Przytycki, who had taken a postdoctoral position there; [3] she completed her Ph.D. at UBC in 1990. Her dissertation, Parallel Algorithms On Trees And Related Problems, concerned parallel algorithm design, and was supervised by David G. Kirkpatrick. [5] [6] [7]

Although originally intending to return to her position at the University of Warsaw, that became impracticable because of her two new children and the lack of adequate childcare in Warsaw at that time. [3] After a visiting assistant professorship at the University of California, Riverside, she became an assistant professor at Odense University in Denmark in 1992, [5] living for much of this time separately from her husband because of their two-body problem. In the mid-1990s, her husband was tenured at George Washington University on the US east coast, and she determined to find positions nearby, at the same time shifting her research interests to computational biology. [3] In 1997 she became a Sloan-DOE research fellow at the Johns Hopkins School of Medicine, where she continued as a Burroughs Wellcome Fellow and research associate. In 2003 she took her present position at the National Center for Biotechnology Information. [5]

Recognition

In 2021 Przytycka was named a Fellow of the International Society for Computational Biology, "for her fundamental algorithmic contributions to a wide range of problems in computational systems biology, especially in network analysis, network-based approaches to uncover disease genes, network reconstruction, regulatory roles of DNA conformation dynamics and RNA aptamer analysis". [8]

Related Research Articles

<span class="mw-page-title-main">Computational biology</span> Branch of biology

Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships. An intersection of computer science, biology, and big data, the field also has foundations in applied mathematics, chemistry, and genetics. It differs from biological computing, a subfield of computer science and engineering which uses bioengineering to build computers.

<span class="mw-page-title-main">Theoretical computer science</span> Subfield of computer science and mathematics

Theoretical computer science (TCS) is a subset of general computer science and mathematics that focuses on mathematical aspects of computer science such as the theory of computation, formal language theory, the lambda calculus and type theory.

Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, and rules. It is most commonly applied in artificial life, general game playing and evolutionary robotics. The main benefit is that neuroevolution can be applied more widely than supervised learning algorithms, which require a syllabus of correct input-output pairs. In contrast, neuroevolution requires only a measure of a network's performance at a task. For example, the outcome of a game can be easily measured without providing labeled examples of desired strategies. Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional deep learning techniques that use gradient descent on a neural network with a fixed topology.

Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science that uses advanced computing capabilities to understand and solve complex physical problems. This includes

<span class="mw-page-title-main">Éva Tardos</span> Hungarian mathematician

Éva Tardos is a Hungarian mathematician and the Jacob Gould Schurman Professor of Computer Science at Cornell University.

A memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm (GA) or more general evolutionary algorithm (EA). It may provide a sufficiently good solution to an optimization problem. It uses a suitable heuristic or local search technique to improve the quality of solutions generated by the EA and to reduce the likelihood of premature convergence.

<span class="mw-page-title-main">Eugene Myers</span> American scientist

Eugene Wimberly "Gene" Myers, Jr. is an American computer scientist and bioinformatician, who is best known for contributing to the early development of the NCBI's BLAST tool for sequence analysis.

Pierre Baldi is a distinguished professor of computer science at University of California Irvine and the director of its Institute for Genomics and Bioinformatics.

Charles "Chip" Lawrence is an American bioinformatician and mathematician, who is the pioneer in developing novel statistical approaches to biological sequence analysis.

<span class="mw-page-title-main">Ron Shamir</span> Israeli professor of computer science (born 1953)

Ron Shamir is an Israeli professor of computer science known for his work in graph theory and in computational biology. He holds the Raymond and Beverly Sackler Chair in Bioinformatics, and is the founder and former head of the Edmond J. Safra Center for Bioinformatics at Tel Aviv University.

<span class="mw-page-title-main">Dana Pe'er</span> Bioinformatician

Dana Pe'er, Chair and Professor in Computational and Systems Biology Program at Sloan Kettering Institute is a researcher in computational systems biology. A Howard Hughes Medical Institute (HHMI) Investigator since 2021, she was previously a professor at Columbia Department of Biological Sciences. Pe'er's research focuses on understanding the organization, function and evolution of molecular networks, particularly how genetic variations alter the regulatory network and how these genetic variations can cause cancer.

Nancy Marie Amato is an American computer scientist noted for her research on the algorithmic foundations of motion planning, computational biology, computational geometry and parallel computing. Amato is the Abel Bliss Professor of Engineering and Head of the Department of Computer Science at the University of Illinois at Urbana-Champaign. Amato is noted for her leadership in broadening participation in computing, and is currently a member of the steering committee of CRA-WP, of which she has been a member of the board since 2000.

Tamara Macushla Munzner is an American-Canadian scientist. She is an expert in information visualization who works as a professor of computer science at the University of British Columbia (UBC).

<span class="mw-page-title-main">LRRC24</span> Protein-coding gene in the species Homo sapiens

Leucine rich repeat containing 24 is a protein that, in humans, is encoded by the LRRC24 gene. The protein is represented by the official symbol LRRC24, and is alternatively known as LRRC14OS. The function of LRRC24 is currently unknown. It is a member of the leucine-rich repeat (LRR) superfamily of proteins.

Daniel Mier Gusfield is an American computer scientist, Distinguished Professor of Computer Science at the University of California, Davis. Gusfield is known for his research in combinatorial optimization and computational biology.

<span class="mw-page-title-main">Mark Boguski</span> American pathologist (died 2021)

Mark S. Boguski was an American pathologist specializing in computational analysis and structural biology, He was elected in 2001 to the U.S. National Academy of Medicine, and was a Fellow of the American College of Medical Informatics.

<span class="mw-page-title-main">Srinivas Aluru</span>

Srinivas Aluru is a professor in the School of Computational Science and Engineering at Georgia Institute of Technology, and co-Executive Director for the Georgia Tech Interdisciplinary Research Institute in Data Engineering and Science. His main areas of research are high performance computing, data science, bioinformatics and systems biology, combinatorial methods in scientific computing, and string algorithms. Aluru is a Fellow of the American Association for the Advancement of Science (AAAS) and the Institute for Electrical and Electronic Engineers (IEEE). He is best known for his research contributions in parallel algorithms and applications, interdisciplinary research in bioinformatics and computational biology, and particularly the intersection of these two fields.

<span class="mw-page-title-main">Ujjwal Maulik</span> Indian computer scientist (born 1965)

Ujjwal Maulik is an Indian computer scientist and a professor. He is the former chair of the Department of Computer Science and Engineering at Jadavpur University, Kolkata, West Bengal, India. He also held the position of the principal-in-charge and the head of the Department of Computer Science and Engineering at Kalyani Government Engineering College.

Kira S. Makarova is an Estonian-American evolutionary biologist known for her research on the biology of CRISPR and Cas9. She is a staff scientist at the National Center for Biotechnology Information.

Aidong Zhang is a computer scientist whose research topics include machine learning and bioinformatics. She is William Wulf Faculty Fellow and Professor of Computer Science at the University of Virginia, where she also holds affiliations with the Department of Biomedical Engineering and School of Data Science.

References

  1. ↑ Birth year from VIAF authority control record, retrieved 2021-12-12
  2. ↑ Distinguished Lecture in Causal Discovery – Dr. Teresa M. Przytycka, University of Pittsburgh Center for Causal Discovery, 4 November 2015, retrieved 2021-12-12
  3. 1 2 3 4 5 "Focus on NLM Scientists: Dr. Teresa Przytycka Goes the Distance", NLM in Focus, National Library of Medicine, 6 February 2017
  4. ↑ "Teresa M. Przytycka", IEEE Xplore, IEEE, retrieved 2021-12-12
  5. 1 2 3 4 Curriculum vitae (PDF), 2 October 2012, retrieved 2021-12-12
  6. ↑ Teresa Przytycka at the Mathematics Genealogy Project
  7. ↑ Przytycka, Teresa Maria (1990), Parallel Algorithms On Trees And Related Problems, University of British Columbia, doi:10.14288/1.0302108, hdl:2429/30640
  8. ↑ ISCB Congratulates the 2021 Class of Fellows, International Society for Computational Biology, retrieved 2021-12-12
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.