Monica Rogati

Monica Rogati

Senior Data Scientist @ LinkedIn

Location
Sunnyvale, California (San Francisco Bay Area)
Industry
Internet

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Monica Rogati's Overview

Current
Past
  • Research Intern at AT&T Research
  • Undergraduate Teaching Assistant & Software Developer at University of New Mexico
  • Logic Design Assistant at NASA Microelectronics Research Center @UNM

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Education
  • Carnegie Mellon University
  • Carnegie Mellon University
  • The University of New Mexico
  • Tudor Vianu Computer Science High School / Liceul de Informatica

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Recommendations

7 people have recommended Monica

Connections

500+ connections

Monica Rogati's Summary

Hands on, no-nonsense data science generalist; pioneered data driven products with multi-million dollar business impact. Instrumental in building the LinkedIn product data science team.

Leading a team focused on building data products.

Strong background in applied machine learning (CMU CS PhD), social network analysis, recommender systems, statistical text mining and multilingual information retrieval (search) -- and a knack for branding & personal finance.

I turn data into products, actionable insights and (news) stories.

Specialties: applied machine learning, recommender systems, analytics, data science, data driven products, social network analysis, crowdsourcing, multilingual information retrieval, text classification, statistical machine translation, fraud detection, big data, large-scale applied text mining and data mining, evaluation design, medical applications, statistical natural language processing, clustering, event detection and tracking, personal finance, tomatoes.
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Selected Press Coverage (stories I found in the data):
✔ “Top CEO names” -- 200+ stories on NPR, ABC, CBS, CNN, The Financial Times, BloombergTV, Howard Stern :), Real Simple, US News, TechCrunch, Mashable, Time.com, FastCompany, CIO, Forbes.com. 3rd most popular LinkedIn blog post of 2011 (IPO was #10)
✔ “What’s in the DNA of an entrepreneur?” -- stories in TechCrunch, Business Insider, Mashable, San Jose Mercury News, CIO, San Francisco Chronicle, PC World, RWW, VentureBeat
✔ “Best time to get a promotion” -- 120+ stories in the WSJ, Forbes, SF Chronicle, Reuters, CNN, MarketWatch, CNBC, SJ Mercury News, HBR
✔ Forbes interview on “What is a Data Scientist?”
✔ Growth of data scientists chart -- articles in Fortune & the WSJ
✔ The Atlantic article on “The Data Driven Parent” (print edition)
✔ Wall Street Journal (front page, print edition): “In the Search for a Hot Job Title, Enter the Ninja”
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Selected talks, interviews and videos below.

Monica Rogati's Experience

Senior Data Scientist

LinkedIn

Public Company; 1001-5000 employees; LNKD; Internet industry

May 2008 – Present (5 years 1 month)

How do you know Darth Vader’s LinkedIn account is not real? How do you train a recommender system *before* it goes live? What are the hottest companies this year, and more importantly, how do you leverage terabytes of data to define “hot”? What algorithms will find your next sharp CTO in the 10^8 LinkedIn profile haystack? I answer these types of questions every day - and more importantly, I ask them.

The hats: applied machine learning scientist, hands-on prototyper, product manager, data miner, talent high-pass filter, mentor, spokesperson, fraud fighter, crowdsourcer, acquisition due diligence, namer … and distributed database guinea pig.

Impact:

✔ Created and implemented the initial LinkedIn job-to-candidate matching system (Talent Match), now a multi-million dollar product.
✔ Developed the first machine learning model for LinkedIn’s People You May Know, immediately doubling invitation rates.
✔ Created and implemented the "Groups You May Like" product (v1.0) resulting in a double digit engagement rate.
✔ Coaxed stories out of terabytes of raw data -- they brought us to Good Morning America, the front page of the Wall Street Journal, The Economist and hundreds of other media outlets. This includes the top shared story in LinkedIn’s history (on overused buzzwords), job title trends, successful first names, “hot” companies and industries, labor market movements etc.
✔ Pioneer, scientist, and evangelist for the LinkedIn’s recommender system line of products: Jobs You May Be Interested In, Similar Jobs, Talent Match etc. Technical contributions include: solving the cold start training problems, a generalized metrics / evaluation framework, feature engineering, model building & visualization.
✔ Crowdsourcing specialist (Mechanical Turk, Crowdflower, Samasource).
✔ Fraud detection (fake accounts, spam, TOS violations).
✔ Co-organized the LinkedIn external tech talk series & the data science summer intern program

Advisor

Insight Data Science

Privately Held; 1-10 employees; Higher Education industry

2012 – Present (1 year)

Research Assistant

Carnegie Mellon University, Computer Science Department

Educational Institution; 5001-10,000 employees; Higher Education industry

September 2000 – May 2008 (7 years 9 months)

Advisors: Yiming Yang and Jaime Carbonell.
Feature selection for text classification. Cross-lingual information retrieval using parallel corpora, including full system implementation. Multilingual search competitions, named entity detection, event detection and tracking. Thesis work on domain adaptation of translation models, as applied to Cross-Language Information Retrieval, Event Tracking and Machine Translation. Crucial role in the CMU DARPA GALE project: grant proposal co-writing, end-to-end system architecture and design, project coordinator across CMU, UPitt & IBM; user study design, evaluation dataset design.

Research Intern

IBM TJ Watson Research Center

Public Company; 10,001+ employees; IBM; Information Technology and Services industry

May 2005 – August 2005 (4 months)

Research Intern

IBM TJ Watson Research Center

Public Company; 10,001+ employees; IBM; Information Technology and Services industry

May 2003 – August 2003 (4 months)

Unsupervised learning for Arabic stemming. Work published: ACL'03.

Research Intern

AT&T Research

Public Company; 10,001+ employees; T; Telecommunications industry

May 2000 – August 2000 (4 months)

Text mining and machine learning for the DARPA Communicator. Work published : NAACL'01, ACL'01.

Undergraduate Teaching Assistant & Software Developer

University of New Mexico

Educational Institution; 10,001+ employees; Higher Education industry

August 1997 – December 1999 (2 years 5 months)

Teaching Assistant, UNM CS Department (multiple classes, starting as a sophomore)
Scheme, C++, intro to algorithms.
Developed an automatic grader application to evaluate student projects and e-mail a progress report.
Software Developer, UNM CS Department
Lead a team developing a web-based grade database (SQL, C++) used by the three largest classes in the CS department.

Logic Design Assistant

NASA Microelectronics Research Center @UNM

1996 – 1999 (3 years)

Developed a packetizing chip software simulation and a multiplexer usage optimization for multiple outputs boolean functions; disassembled and redesigned a microcontroller test bench.
Responsible for student assignment evaluation for a logic design class.

Monica Rogati's Education

Carnegie Mellon University

Ph.D., Computer Science

2003 – 2008

Thesis:
Domain Adaptation of Translation Models for Multilingual Applications

Feature selection for text classification. Cross-lingual information retrieval using parallel corpora; including full system implementation. Event Tracking; Machine Translation. DARPA GALE Distillation: proposal writing, end-to-end system design and specification, user study design, evaluation dataset design.

Carnegie Mellon University

MS, Computer Science

2000 – 2003

TA'd Data Structures and Algorithms (Java). Designed exam questions and assignments, lectured to a class of 150+.

The University of New Mexico

BS, Computer Science

1996 – 2000

First in my graduating class (summa cum laude)
Undergraduate research in neural networks and NLP.
Undergraduate TA for functional programming (Scheme).

Tudor Vianu Computer Science High School / Liceul de Informatica

Computer Science

Monica Rogati's Patents

  • Trainable Sentence Planning System

    • United States Patent 7,729,918
    • Issued June 1, 2010
    Inventors: Monica Rogati, Owen Christopher Rambow (2nd), Marilyn A. Walker (1st)

  • Methods and systems for exploring career options

    • United States Patent US20120226623 A1
    Inventors: Monica Rogati, Micah Alpern, Russell Jurney, Josh Fleetwood, DJ Patil, Peter Skomoroch, Chris Riccomini

  • Methods and systems for identifying similar people via a business networking service

    • United States Patent Application 13/194,883
    • Filed July 29, 2011
    Inventors: Monica Rogati, Christian Posse, Anmol Bhasin, Abhishek Gupta

    Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user.

  • Providing Recommendations to Members of a Social Network

    • United States Patent Application 13/780116
    Inventors: Monica Rogati, Heyning Cheng, Navneet Kapur, Abhimanyu Lad

  • Presenting Actionable Recommendations to Members of a Social Network

    • United States Patent Application 13/780,198
    Inventors: Monica Rogati, Heyning Cheng, Navneet Kapur, Abhimanyu Lad

Monica Rogati's Publications

Monica Rogati's Volunteer Experience & Causes

  • Volunteer Interests

    • Organizations I support:

      • Kiva.org
      • Oxfam
      • DonorsChoose.org

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