Prior to this I was a research associate in VIDA Lab at NYU Tandon School of Engineering where I worked with Professor Juliana Freire on DARPA Memex and D3M projects. Before joining NYU, I did a summer internship with Microsoft Research and Cloud AI Group in Redmond.
My areas of interest include machine learning, deep learning, reinforcement learning, data mining, distributed computing and data visualization especially applying them to automation of machine learning (AutoML), information retrieval and applications for social good. Most recently I worked on automated generation of data mining pipelines, for the DARPA D3M project, through sequence modeling using a deep neural network and Monte Carlo Tree Search (MCTS)
My poster, AlphaD3M: Machine Learning Pipeline Synthesis, has been selected for presentation at the Deep Learning and Reinforcement Learning Summer School 2019.
Our poster, Agent-based Modelling of Collective Algorithms Implementable by T Cells, has been selected for presentation at the Mathematics in Life Sciences (MiLS) Meeting on Modelling Challenges in Cancer and Immunology at King's College London this summer.
Selected for and will be attending the Deep Learning and Reinforcement Learning Summer School 2019 in Edmonton, Alberta, Canada this summer.
Mentored the 2nd Place winning team in End Human Trafficking Hackathon, 2016, organized by Manhattan District Attorney’s (DANY) office in partnership with Cornell Tech.
AlphaD3M: Machine Learning Pipeline Synthesis
Iddo Drori, Yamuna Krishnamurthy, Remi Rampin, Raoni de Paula Lourenco, Jorge Piazentin Ono, Kyunghyun Cho, Claudio Silva, Juliana Freire.
International Workshop on Automatic Machine Learning 2018, International Conference on Machine Learning (ICML), Stockholm, July 2018
Interactive Exploration for Domain Discovery on the Web
Yamuna Krishnamurthy, Kien Pham, Aecio Santos, Juliana Freire.
Workshop on Interactive Data Exploration and Analytics (IDEA) 2016, Knowledge Discovery and Data Mining (KDD), San Francisco, Aug 2016
Bayesian Optimal Active Search and Surveying
Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff Schneider, Richard P Mann.
29th International Conference on Machine Learning (ICML) 2012, Madison, WI, USA, June 2012
Bayesian Optimal Active Search on Graphs
Roman Garnett, Yamuna Krishnamurthy, Donghan Wang, Jeff Schneider, and Richard Mann
Ninth Workshop on Mining and Learning with Graphs (MLG ’11), Knowledge Discovery and Data Mining (KDD), San Diego, Aug 2011