Keki Burjorjee

Ph.D. Student, Brandeis Universtity

Greater Boston Area

Current
Past
Education
  • Brandeis University
  • University of Rochester
  • Vassar College
Connections
61 connections
Industry
Computer Software
Websites

Keki Burjorjee’s Summary

I'm in the final stages of a Ph.D. in Computer Science. The subject of my research is the genetic algorithm's remarkable yet mysterious capacity for adaptation. I have developed a new hypothesis about the workings of this algorithm. My hypothesis departs from the building block hypothesis at a fundamental level, and has some deep ramifications for the fields of combinatorial optimization, machine learning, evolutionary biology, and, of course, genetic algorithmics. This hypothesis is based on recent breakthroughs in identifying the computational power underlying the adaptive capacity of genetic algorithms.

Keki Burjorjee’s Specialties:

genetic algorithms, combinatorial optimization, machine learning, artificial intelligence, complex systems,


Keki Burjorjee’s Experience

  • Graduate Student

    Brandeis University

    (Computer Software industry)

    2002Present (7 years)

  • Graduate Student

    University of Rochester

    (Educational Institution; 10,001 or more employees; Higher Education industry)

    August 2000August 2002 (2 years 1 month)

  • Senior Applications Engineer

    Oracle

    (Public Company; 10,001 or more employees; ORCL; Computer Software industry)

    August 1998August 2000 (2 years 1 month)


Keki Burjorjee’s Education

  • Brandeis University

    Ph.D. , Computer Science , 20022009

  • University of Rochester

    Graduate Student , Brain and Cognitive Sciences , 20002002

  • Vassar College

    A.B. , Computer Science, Mathematics , 19941998

    Activities and Societies:
    Rowing Team

Additional Information

Keki Burjorjee’s Websites:

Keki Burjorjee’s Interests:

evolutionary computation, genetic algorithms, machine learning, optimization, complex systems

Keki Burjorjee’s Honors:

TinyGA competition Winner, Genetic and Evolutionary Compuation Conference (2006).

Sproull Fellowship (for unusually strong potential for graduate study. The most prestegious fellowship awarded by the University of Rochester, 2000)

Mary Evelyn Wells and Gertrude Smith Prize (for excellence in the study of undergraduate mathematics, Vassar College, 1998)

General Honors, Honors in Mathematics, Honors in Computer Science, Vassar College (1998)


Keki Burjorjee’s Contact Settings

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