Computer Science Machine

Chun-Nam Yu

*-** ********* ****

Phone: 587-***-****

Department of Computing Science

Email: *******@**.********.***

University of Alberta

Homepage: http://webdocs.cs.ualberta.ca/ chunnam/

Edmonton, T6G2E8, AB Canada

Current Position

University of Alberta, Canada, September2010 - Present

Postdoctoral Fellow at Department of Computing Science and

Alberta Innovates Center for Machine Learning (AICML)

Supervisor: Russ Greiner

Education

Cornell University, August2004 - August2010

Ph.D. in Computer Science (with minor in Applied Mathematics)

Advisor: Thorsten Joachims

Thesis: Improved Learning of Structural Support Vector Machines:

Training with Latent Variables and Non-linear Kernels

Wadham College, Oxford University, UK, October2001 - July2004

B.A. in Mathematics & Computer Science (First Class Honours)

Diocesan Boys School, Hong Kong,1994 -2001

Research Interests

Structured output learning, support vector machines, kernel methods, optimization,

biomedical

applications of machine learning

Research Experience

Postdoctoral Fellow at Alberta Innovates Center for Machine Learning (AICML), Sep2010 -

Present

Worked on designing machine learning algorithms for several biomedical projects,

including

survival prediction, covariate shift in patient population, elimination of batch effects

in DNA

microarray data; Mentored PhD and Masters students in the group; Contributed to several

re-

search grant proposals

Supervisor: Russ Greiner

Summer

Intern at Yahoo! Research, Santa Clara, CA, Summer2008

Worked on large-scale distributed SVM training using the open-source MapReduce implemen-

tation Hadoop

Supervisors: Dr. Sathiya Keerthi and Dr. Olivier Chapelle

Summer

Intern at Siemens Medical Solutions, Malvern, PA, Summer2007

Worked on the problem of applying multiple view learning to the classification of tumor

candi-

dates in mammography

Supervisors: Dr. Balaji Krishnapuram and Dr. Shipeng Yu

Chun-Nam Yu 2

Professional Activities

Program Committee Member:

International Conference on Machine Learning (ICML)2011,2012

Uncertainty in Artificial Intelligence (UAI)2011

Neural Information Processing Systems (NIPS)2009,2010

European Conference on Machine Learning (ECML)2008,2010

Also conference paper reviewer for NIPS07, ICML07, ICML08, AAAI07, AAAI08

Honors and Awards

Best Paper Award, European Conference on Machine Learning (ECML),2009

Departmental Teaching Assistant Award, CS478 Machine Learning,2007

The Olin Fellowship,2004-2005

Wadham College Fellowships,2002-2004

The Corcoran Prize (First Public Exam, Maths & Joint School),2002

The Lee Shau Kee Scholarship (for study at Oxford University),2001-2004

Invited TalksBuilding Complex Prediction Models with Support Vector Machines

Department of Computing Science, University of Albeta, Feb2010

IBM T.J. Watson Research Center, Nov2009

Learning Structural SVMs with Latent Variables

IBM Statistical Machine Learning and its Applications (SMiLe) Workshop, Oct2009

Introduction to Machine Learning and Support Vector Machines

Hamilton College, NY, June2011

Teaching Experience

Teaching Assistant at Cornell University

CS478 Machine Learning (Spring2007, Spring2008),

CS472 Foundations of Artificial Intelligence (Fall2007)

Involved with teaching guest lectures, designing homework problems, grading, holding

review

sessions

Bioinformatics Summer Workshop at Hamilton College, NY

Taught a3-day workshop on introductory machine learning and support vector machines to a

group of summer research students and faculties from bioinformatics, biology, chemistry

de-

partments

Chun-Nam Yu 3

Grant Writing Experience

Co-wrote the AICML grant Survival prediction for cancer patients (CAD$33,482.

Refereed Conference Proceedings

Computing Skills:

C, C++, Python, Matlab, R, Haskell, Hadoop, OpenMP, MPI, Linux, Windows

Languages:

English (fluent), Cantonese (native), Mandarin (fluent)

Immigration and Visa Status: Hong Kong SAR citizen, US B-1 travel visa

References

Thorsten Joachims

Associate Professor

Department of Computer Science

Cornell University, Ithaca NY14853

Email: **@**.*******.***

Russ Greiner

Professor

Department of Computing Science

University of Alberta, Edmonton, Canada, T6G2E8

Email: ********@********.**

Ron Elber

Professor

Department of Chemistry and Biochemistry and

Institute of Computational Sciences and Engineering

The University of Texas at Austin

1 University Station, ICES, Austin, TX78712

Email: ***@****.******.***

Sathiya Keerthi

Senior Scientist

Yahoo! Research, Machine Learning Group

4401 Great America Parkway

Santa Clara

CA95054

Email: ********@*****-***.***

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