An Empirical Study on The Properties of Random Bases for Kernel Methods: Implementation and Extensions
Harvard Applied Mathematics 207 Final Project
Harvard Applied Mathematics 207 Final Project
Expanded Amazon Fresh online grocery shopping experience to Amazon.com’s main retail platform in India. Added dynamic (region aware) navigation bar, scoped search, scoped cart features for desktop, mobile web, and mobile app platforms.
Summer 2017 Intern Project: Created a backend service to migrate Amazon Fresh product offer data from Oracle to Amazon Web Services (AWS), and created dashboards for data visualization on ElasticSearch and Kibana.
Launched Amazon Fresh Rebranding and contributed to software systems that supported Amazon Fresh grocery delivery as a core Prime member benefit, removing the annual fee.
Expanded Amazon Fresh online grocery shopping experience to Amazon.com’s main retail platform in Singapore. Added dynamic (region aware) navigation bar, scoped search, scoped cart features for desktop, mobile web, and mobile app platforms.
Designed overall architecture and built scoped cart for Amazon Luxury Stores mobile shopping experience on iOS and Android.
Launched Morrisons online shopping experience on Amazon.com’s main retail platform. Added dynamic (region aware) navigation bar, scoped search, scoped cart features for desktop, mobile web, and mobile app platforms.
Launched desktop, mobile web, and mobile app navigation experience to support physical in-store and hybrid shopping experiences for Amazon Fresh’s physical stores.
Updated main navigation bar and cart checkout banner for Prime Now website.
Migrated Amazon mobile app software systems for iOS and Android to React Native release version 0.60.
Launched Whole Foods Market online shopping experience on Amazon.com’s main retail platform. Added dynamic (region aware) navigation bar, scoped search, scoped cart features for desktop, mobile web, and mobile app platforms. Integrated Whole Foods Market Promo and QR Code bottomsheets.
Harvard Computer Science 224 Final Project
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Anna L. Trella, Walter Dempsey, Finale Doshi-Velez, Susan A. Murphy. In Submission, 2024 [paper] [code]
Inbal Nahum-Shani, Zara M. Greer, Anna L. Trella, Kelly W. Zhang, Stephanie M. Carpenter, Dennis Ruenger, David Elashoff, Susan A. Murphy, Vivek Shetty. Contemporary Clinical Trials, 2024 [paper]
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), 2023 [paper] [code] [video]
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy. Special Issue of Algorithms in Decision Support Systems Vol. 2, 2022 [paper] [code] [video]
Anna L. Trella, Peniel N. Argaw, Michelle M. Li, James A. Hay. Contributed Talk at IJCAI 2021 Workshop on Artificial Intelligence for Social Good [paper] [code]
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate Course, University of California, Berkeley: Department of Mathematics, 2016
Course Reader for Math 128A - Numerical Analysis
Undergraduate Course, University of California, Berkeley: Department of Electrical Engineering and Computer Science, 2018
Undergraduate Student Instructor for CS61C - Great Ideas in Computer Architecture (Machine Structures)
Amazon Internal Training, Amazon Web Services - Machine Learning University, 2019
Teaching Assistant for AWS Machine Learning University
Undergraduate Course, Harvard University, 2022
Graduate Teaching Fellow for CS 181 - Machine Learning