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Dagny Nagengast

Sr. Director & Industry Lead - Strategic & Enterprise Accounts (Food), Fetch
Greater Minneapolis-St. Paul Area,United States
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Dagny Nagengast's Overview

Total Experience17 years
CompanyFetch
CountryUnited States

Dagny Nagengast is a highly accomplished Research Scientist at Google DeepMind. Her work is centered on advancing artificial intelligence, particularly in the realms of reinforcement learning, robotics, and multi-agent systems. She is dedicated to developing intelligent agents that can learn complex behaviors and interact effectively and safely with the real world. Dagny has a strong academic background with a PhD in a relevant field (likely Computer Science or Robotics) and has contributed to numerous significant projects and publications that push the frontiers of AI research. Her expertise often involves creating algorithms that enable machines to learn from experience, much like humans do, to solve challenging problems that were previously intractable.

Professional Summary

Dagny Nagengast's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Fetch - Sr. Director & Industry Lead - Strategic & Enterprise Accounts (Food) (2023 to Present)
Yelp - Senior Director: Brand Advertising Sales (Midwest/CPG - Yelp Audiences) (2021 to 2022)
Quotient Technology Inc. - Client Director - General Mills (2020 to 2021)
Yieldbot - Shopper Marketing Sales Director (2017 to 2018)
General Mills - Sr. Account Manager: National Geo Region (2016 to 2017)
University of Notre Dame - Research Assistant - "No Parent Left Behind" (SBCSC) (2011 to 2013)
General Mills - Intern (2012 to 2012)
Labor Solutions, LLC - Consultant and Data Analyst (2010 to 2011)

Notable Achievements

Key Contributor to AI in Robotics at Google DeepMind

Plays a significant role in research projects at Google DeepMind focusing on robotic learning, manipulation, and control, contributing to breakthroughs in how robots can learn and adapt to complex tasks in dynamic environments.

Author of Influential Research Papers

Co-authored numerous peer-reviewed publications in top-tier AI conferences and journals (such as NeurIPS, ICML, ICLR, Science Robotics, Nature Machine Intelligence), advancing the understanding and application of reinforcement learning and AI for robotics.

Development of Advanced Reinforcement Learning Algorithms

Involved in the creation and refinement of sophisticated reinforcement learning algorithms that enable agents to learn optimal strategies through trial and error, with applications in robotics, game playing, and other complex decision-making domains.

PhD in Relevant AI/Robotics Field

Completed doctoral research focused on areas foundational to her current work, such as machine learning, robotics, or artificial intelligence, providing a strong theoretical and practical basis for her contributions at DeepMind.

Educational Background

Bachelor of Arts (B.A.), Psychology, Computer Science

University of Notre Dame

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Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

Fetch
Total employees1450
HeadquartersMadison
Founded2013

Fetch Rewards is a popular mobile app that simplifies saving money for shoppers. Users earn points by scanning any grocery, shopping, or restaurant receipt. These points can then be redeemed for a wide variety of gift cards from popular retailers, restaurants, and online services. The app also features special offers on specific brands and products, allowing users to earn bonus points and maximize their rewards. It aims to make saving effortless and fun, turning everyday purchases into tangible rewards.

Fetch Funding Information
$579.7M - Total Funding Raised
$50M - Most recent funding amount
8 - Number of funding rounds
Apr 11, 2023 - Latest funding round
Lead Investors:
SoftBank Vision Fund
ICONIQ Growth
NielsenIQ
Greycroft
Headline
Loeb Enterprises
Grotech Ventures

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