Prof. Jooyoung Lee

Jooyoung Lee

Professor, School of Computational Sciences

Korea Institute for Advanced Study

E-mail:  jlee(a)kias.re.kr

TEL:     +82-2-958-3731

FAX:    +82-2-958-3786

Mailing address:

             Korea Institute for Advanced Study

             207-43 Cheongryangri Dongdaemun

             Seoul 130-722, South Korea

          

EDUCATION

* Ph.D. Physics, Brown University, 1990; Thesis advisor: Prof. John Michael Kosterlitz
           Thesis title: New Numerical Method to Study Phase Transitions and its Applications

* M.S. Physics, Brown University, 1987 ,

* M.S. Physics, Seoul National University, Korea, 1984; Thesis advisor: Prof. Doochul Kim
           Thesis title: Mean Field Phase Diagrams of the Cubic Model of HoP in a Magnetic Field

* B.A. Physics, Seoul National University, Korea, 1982

* 1974-77 Jang-Hoon High School,

* 1971-74 O-San Middle School,

* 1965-71 Yong-San Elementary School,

 

EXPERIENCE

* Professor, School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Korea, 10/2000 - present

* Research Associate, Department of Chemistry and Chemical Biology, Cornell University 9/1997-9/2000

* Research Associate, Department of Biomathematical Science, Mt. Sinai School of Medicine 9/1994-9/1997

* Postdoctoral Appointee, Supercomputer Computations Research Institute, Florida State University 8/1992-9/1994

* Postdoctoral Appointee, Material Science Division, Argonne National Lab 12/1990-8/1992

* Research Assistant, Department of Physics, Brown University 6/1987-11/1990

 

PUBLICATION --> FULL LIST  FREQEUNTLY CITED PAPERS
Since 1990, I have published over 50 peer-reviewed papers in various SCI journals. Many of these papers are well cited
(over 2100 citations from SCI journals and about 1700 citations to my first/corresponding-authored papers).


MAJOR RESEARCH INTERESTS

* Protein structure prediction.

* Protein folding mechanism: MD,MC simulations.

* Docking problems.

* Secondary structure prediction.

* Contact prediction.

* Order/disorder prediction.

* Multiple sequence alignment.

* Potential parameter optimization.

* New potential development.

* Global optimization of various systems: TSP, molecular clusters, etc