I am a 4th year undergraduate student at Johns Hopkins University. I major in Computer Science, Cognitive Science (linguistics focus), and Applied Mathematics (statistics focus). I'm intereted in using computational methods to model and potentially discover cognitive processes.
My research interests: Natural Language Processing, Computational Sociolinguistics, Multilingual/Cross-lingual NLP, Low-Resource Machine Translation, Human-Centered NLP, Ethical NLP
I am in the process of applying to post-bac and PhD programs. Please contact me at email@example.com if you are interested in my work!
Click here to download my CV (updated Nov. 22)
Multilingual L2 Translation
We develop a multilingual translation system from "broken" source language to target languages to investigate the differences between human language acquisition and machine language acquisition.
Speech to Sign Language
We attempt to trian a distillation model conditioned on speech signals to translate speech to animated ASL sign language.
Quantum Language Modeling
We integrate VQCs into a lite Transformer architecture for fast and secure language model pre-training. We currently only simulate quantum models on classical hardware.
Language-Agnostic Acoustic Modeling
We investigate cross-lingual generalizability of English SSL models and perform phonology-semantic separation for language-agnostic acoustic modeling.
Check out our new paper "Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns."
Check out our new paper "A New Approach to Extract Fetal Electrocardiogram Using Affine Combination of Adaptive Filters."
Check out our new paper "PQLM - Multilingual Decentralized Portable Quantum Language Model for Privacy Protection."
Check out our new paper "End-to-End Lyrics Recognition with Self-supervised Learning."
Best Presentation Award at the GI Workshop @ GECCO 2022. Link to my talk here.
Check out our workshop paper "Genetic improvement in the shackleton framework for optimizing LLVM pass sequences" accepted to GECCO'22.
Check out our paper "Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework" accepted to GECCO'22.