<p>李克昭院士為中央研究院統計科學研究所 / 特聘研究員，所發表之數篇論文是統計學界的經典作品，其原創的兩個方法「分段逆回歸法」(SIR) 和「主要黑森定向法」(PHD)，爲高維數據分析降維之研究開闢新的領域。李院士亦發明一項名為「流動關聯性」(LA)的統計方法，供應用於生物資訊之研究。</p>

李克昭院士現為中央研究院統計科學研究所特聘研究員及國立臺灣大學數學系合聘教授。他的研究範疇包括數理統計、高維數據及生物信息。李院士曾獲得ICSA傑出成就獎等多個學術榮譽，並為世界科學院院士。
<p>EDUCATION AND POSITIONS HELD:
Ph.D., Statistics, 1981, University of California, Berkeley. (Advisor: Jack Kiefer)
B.S., Mathematics, 1975, National Taiwan University
2006-present: Distinguished Research Fellow, Institute of Statistical Science, Academia Sinica
2006-2012: Director, Institute of Statistical Science, Academia Sinica
2000-2002: graduate vice chair, Statistics Department, UCLA
1999-present: Professor, Statistics Department, UCLA
1989-present: Professor, Mathematics Department, UCLA
1984-1989: Associate Professor, Mathematics Department, UCLA
1981-1984: Assistant Professor, Statistics Department, Purdue University</p>

HONORS:
2012 Academician, Academia Sinica
2003 Medallion Lecturer, IMS; 1993 Guggenheim Fellow;
1991 NSF/ASA/NIST fellow; 1990 JASA theory and methods Editor's invited speaker in Joint Statistical Meetings;
1989 IMS Fellow; 1981 elected member of Phi Beta Kappa;
1981 B. Friedman Memorial Prize in Applied Mathematics, U.C. Berkeley.
RESEARCH INTERESTS:
Bioinformatics, systems biology, lung cancer studies, High dimensional data analysis, Large ensembles of time series, Medical image analysis, Machine learning, Statistical graphics, Bayesian computation, Regression, Censoring, Experimental design, Survey sampling.
