Athena

Athena is named after the Greek goddess of wisdom and strategy and is comprised of PhD and master's students researching conversational AI, natural language processing, and computer vision.

Coming straight from the redwoods of Santa Cruz, the Natural Language and Dialogue Systems Lab is making its fifth appearance in the competition. Our social bot will be able to use commonsense knowledge and external information to generate meaningful responses.

team athena 2023
Team Athena (2023)

Yue Fan - Team leader

Fan is a second year PhD student at UCSC. Fan received a master's robotics from Johns Hopkins University and a bachelor's in automation at Shandong University. Fan's study interests are in NLP, CV, and AI. Fan is focusing on how to improve intelligent embodied agents to perform better and converse with humans in real-world.

Saaket Agashe

Agashe is a master's student in the Computer Science Department at UCSC. Agashe's research interests include natural language processing, conversational AI, and, language-based visual grounding. Agashe previously worked studying predictive text systems through qualitative analysis and is currently working on visual grounding, specifically localization using spatial descriptions and dialogs.

Kevin Bowden

Bowden, a sixth year PhD candidate at UCSC, was a member of team Athena for SGC3 and SGC4 and previously led team SlugBot in SGC1 and SGC2. His primary focus has been on the user experience and the design of call flows to maximize user interest in the conversation. Most recently, his work on Athena has focused on his thesis topic: user modeling and personalization in open-domain conversational AI.

Winson Chen

Chen is a first-year master's student in the Applied Mathematics Department at UCSC. Chen earned a bachelors degree in computer science from UCSC in 2022. Chen has worked as undergraduate research assistant in ERIC Lab under Xin (Eric) Wang. Chen's research interests are natural language processing, computer vision, and machine learning.

Wen Cui

Cui is a PhD candidate specializing in deep learning, natural language processing, and conversational AI. Cui's research focuses on applying deep learning techniques and leveraging large-scale knowledge graphs to improve entity linking in open- domain dialogue systems.

Vrindavan Harrison

Harrison is a fifth year PhD student and a member of the Natural Language and Dialogue Systems lab. His research focuses on dialogue systems and natural language generation. Davan participated in the SBGC 3 and 4 as a member of Team Athena. Davan grew up in Santa Cruz and in his free time surfs and practices jiu jitsu.

Xing Wang - Faculty advisor

Xin (Eric) Wang is an assistant professor of computer science and engineering at UC Santa Cruz. His research interests include NLP, CV, and ML, with an emphasis on building embodied AI agents that can communicate with humans using natural language to perform real-world multimodal tasks. Xin has served as Area Chair for ACL, NAACL, EMNLP, ICLR, etc., and Senior Program Committee (SPC) for AAAI and IJCAI. He organized multiple workshops and tutorials at CVPR, ICCV, ACL, NAACL, AACL, etc. He has received a CVPR Best Student Paper Award (2019), an Amazon Alexa Prize Award (2022-2023), a Google Faculty Research Award (2022), etc.

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US, WA, Seattle
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US, WA, Seattle
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US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Economists in the Forecasting, Macroeconomics & Finance field document, interpret and forecast Amazon business dynamics. This track is well suited for economists adept at combining cutting edge times-series statistical methods with strong economic analysis and intuition. This track could be a good fit for candidates with research experience in: macroeconometrics and/or empirical macroeconomics; international macroeconomics; time-series econometrics; forecasting; financial econometrics and/or empirical finance; and the use of micro and panel data to improve and validate traditional aggregate models. Economists at Amazon are expected to work directly with our senior management and scientists from other fields on key business problems faced across Amazon, including retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. The Forecasting, Macroeconomics & Finance field utilizes methods at the frontier of economics to develop formal models to understand the past and the present, predict the future, and identify relevant risks and opportunities. For example, we analyze the internal and external drivers of growth and profitability and how these drivers interact with the customer experience in the short, medium and long-term. We build econometric models of dynamic systems, using our world class data tools, formalizing problems using rigorous science to solve business issues and further delight customers. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
US, WA, Seattle
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US, WA, Seattle
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US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA