Daniel Tunkelang

Current

Member at New York CTO Club
Chief Scientist at Endeca

Past

Consultant at Context Integration
Research Intern / Consultant at IBM T. J. Watson Research Center
Research Intern at AT&T Bell Labs

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Education

Carnegie Mellon University
MIT

Recommended

3 people have recommended Daniel

Connections

500+ connections

Industry

Computer Software

Websites

Daniel Tunkelang’s Summary

As Chief Scientist, I head up Research at Endeca, a leader and pioneer in enterprise information access.

When we started Endeca in 1999, we saw the weaknesses of prevalent approaches (search engines, databases) and set out to build a better solution, one that better leveraged human intelligence through a transparent dialog between the user and the system. An approach that emphasized summarization of sets of documents over just ranking them by a best guess at their relevance.

Endeca's concrete success speaks for itself. We are the fastest-growing company in our space, and have been recognized by industry analysts (Gartner, Forrester, etc.) as a market and technology leader. Our hundreds of clients include household names in retail (Wal-Mart, Home Depot); manufacturing and distribution (Boeing, IBM); media and publishing (LexisNexis, World Book), financial services (ABN AMRO, Bank of America), and government (Defense Intelligence Agency, National Cancer Institute).

Endeca is also an active participant in the scholarly research community, participating in such conferences as SIGIR, CIKM, and WWW. We have also led the creation of an annual workshop on Human Computer Information Retrieval (HCIR), in order to further the exchange of ideas between researchers and practitioners around a more user-centric approach to information retrieval.

If you'd like to learn more about me or Endeca, I suggest you look at the following:

- My blog: http://thenoisychannel.com/
- My home page: http://www.cs.cmu.edu/~quixote/
- Endeca's home page: http://endeca.com/

Daniel Tunkelang’s Specialties:

Solving information retrieval problems by questioning the conventional assumptions of the field and developing clever algorithms and heuristics.

Daniel Tunkelang’s Experience

Member

New York CTO Club

(Non-Profit; 11-50 employees; Information Technology and Services industry)

July 2005 — Present (3 years 4 months)

The New York CTO Club is an independent, not-for-profit, invitation-only group of senior technologists. We meet monthly to share ideas and expertise.
Chief Scientist

Endeca

(Privately Held; 201-500 employees; Computer Software industry)

September 1999 — Present (9 years 2 months)

I am the head of Research at Endeca. Endeca's unique information access platform helps people find, analyze and understand information in ways never before possible.
Consultant

Context Integration

(Privately Held; 201-500 employees; Computer Software industry)

January 1999 — September 1999 (9 months)

Worked on projects for Doubleday/Bertlesmann and RIAA.
Research Intern / Consultant

IBM T. J. Watson Research Center

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

1990 — 1998 (8 years)

Worked primarily in the Software Technology and Text Analysis groups.
Research Intern

AT&T Bell Labs

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

1994 — 1994 (less than a year)

Summer internship in the Information Visualization group in what was then then known as Bell Labs.

Daniel Tunkelang’s Education

Carnegie Mellon University

PhD, Computer Science, 1993 — 1998
MIT

BS, MS, Computer Science, Mathematics, September 1988 — September 1992

Additional Information

Daniel Tunkelang’s Websites:

Daniel Tunkelang’s Interests:

Information Retrieval, Information Access, Machine Learning, Natural Language Processing, Behavioral Economics, Algorithms, Probability, Statistics, Graph Theory

Daniel Tunkelang’s Groups:

ACM

The Greater IBM Connection: IBM's alumni program for past and present IBM employees
Data & Text Analytics Professionals (1000+ members)
Search Engine Strategies Conference & Expo
New York CTO Club
MIT Massachusetts Institute of Technology Alumni
Text Analytics