Alejandro Buendia
Alejandro Buendia is a Computational Research Lab Manager in the Rabadan Lab. He previously worked as a data scientist at Microsoft and a research engineer at MIT CSAIL, where he worked on modeling patient trajectories from longitudinal EHR data. He is currently working on modeling the evolution of viruses and immune escape, as well as representation learning over ATAC-seq and RNA-seq data.
Rebecca Boiarsky, Nalini Singh, Alejandro Buendia, Gad Getz, David Sontag. A Deep Dive into Single-Cell RNA Sequencing Foundation Models. In Machine Learning in Computational Biology (MLCB 2023), Nov. 2023.
Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, and David Sontag. TabLLM: Few-shot classification of tabular data with large language models. In 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), April 2023.
Liqun Shao, Sahitya Mantravadi, Tom Manzini, Alejandro Buendia, Manon Knoertzer, Soundar Srinivasan, and Chris Quirk. Examination and extension of strategies for improving personalized language modeling via interpolation. In First Workshop on Natural Language Interfaces (ACL 2020), July 2020.
Alejandro Buendia and Daniel Boley. Random walk fundamental tensor and graph importance measures. In International Workshop on Big Social Media Data Management and Analysis (IJCAI 2019), Aug. 2019.
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