I am a Computer Science PhD student at the University of California, Berkeley. Applications of machine learning in computational genomics, neuroscience and natural language processing are of particular interest to me.
Publications
-
Aniketh Janardhan Reddy^, Xinyang Geng^, Michael H. Herschl^, Sathvik Kolli, Aviral Kumar, Patrick D. Hsu, Sergey Levine, and Nilah M. Ioannidis. “Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization.” Advances in Neural Information Processing Systems 38 (NeurIPS 2024). [Paper] [Code]
-
Ruchir Rastogi^, Aniketh Janardhan Reddy^, Ryan Chung, and Nilah M. Ioannidis. “Fine-tuning sequence-to-expression models on personal genome and transcriptome data.” bioRxiv (2024): 2024-09. In review. [Preprint] [Code]
-
Aniketh Janardhan Reddy^, Michael H. Herschl^, Sathvik Kolli, Amy X. Lu, Xinyang Geng, Aviral Kumar, Patrick D. Hsu, Sergey Levine, and Nilah M. Ioannidis. “Strategies for effectively modelling promoter-driven gene expression using transfer learning.” bioRxiv (2023): 2023-02. [Preprint] [Code]
-
Alyssa Kramer Morrow, Ashley Thornal, Elise Duboscq Flynn, Emily Hoelzli, Meimei Shan, Gorkem Garipler, Rory Kirchner, Aniketh Janardhan Reddy, Sophia Tabchouri, Ankit Gupta, Jean-Baptiste Michel, Uri Laserson. “ML-driven design of 3’ UTRs for mRNA stability.” bioRxiv (2024): 2024-10. [Preprint]
-
Lucas Ferreira DaSilva, Simon Senan, Zain Munir Patel, Aniketh Janardhan Reddy, Sameer Gabbita, Zach Nussbaum, César Miguel Valdez Córdova, Aaron Wenteler, Noah Weber, Tin M. Tunjic, Talha Ahmad Khan, Zelun Li, Cameron Smith, Matei Bejan, Lithin Karmel Louis, Paola Cornejo, Will Connell, Emily S. Wong, Wouter Meuleman, Luca Pinello. “DNA-Diffusion: Leveraging Generative Models for Controlling Chromatin Accessibility and Gene Expression via Synthetic Regulatory Elements.” bioRxiv (2024): 2024-02. In review. [Preprint]
-
Aniketh Janardhan Reddy and Leila Wehbe. “Can fMRI reveal the representation of syntactic structure in the brain?” Advances in Neural Information Processing Systems 35 (NeurIPS 2021). [Paper] [Code]
-
Aniketh Janardhan Reddy, Gil Rocha, and Diego Esteves. “DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention.” Proceedings of the First Workshop on Fact Extraction and VERification (FEVER 2018). [Paper] [Code]
-
Diego Esteves, Aniketh Janardhan Reddy^, Piyush Chawla^, and Jens Lehmann. “Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web.” Proceedings of the First Workshop on Fact Extraction and VERification (FEVER 2018). [Paper] [Code]
-
Aniketh Janardhan Reddy, Monica Adusumilli, Sai Kiranmai Gorla, Lalita Bhanu Murthy Neti and Aruna Malapati. “Named Entity Recognition for Telugu using LSTM-CRF.” WILDRE4 at LREC 2018. [Paper] [Code]
-
Diego Esteves, Anisa Rula, Aniketh Janardhan Reddy, and Jens Lehmann. “Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis.” J. Data and Information Quality 9, 3, Article 16 (February 2018), 26 pages. [Paper]
^Equal contribution.