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PhD in Computer Science

University of Illinois at Chicago

• GPA: 3.5/4.0

MSE in Computer Science

Johns Hopkins University

• GPA: 3.5/4.0

BS in Computer Science

University of Massachusetts Amherst

• GPA: 3.7/4.0
• Honors College Scholar with Great Distinction

ACL Area Chair Award

• Awarded for second-author paper (ParaAMR) in semantics

Research Assistant

University of Illinois at Chicago

• Working with Professor Cornelia Caragea on science-focused natural language processing
• Developing approaches to deeply understand scientific facts and documents

Applied Scientist Intern

Amazon

• Worked with Dr. Anoop Kumar on unsupervised paraphrase-based data augmentation
• Leveraged Abstract Meaning Representations (AMRs) to generate syntactically diverse paraphrases
• Achieved SOTA performance on unsupervised paraphrase generation task on multiple datasets

Research Assistant

Johns Hopkins University

• Worked with Professor Benjamin van Durme on semantically grounded image classification
• Improved ResNet architecture for few-shot learning with geometric hierarchical embeddings
• Extended neural entity typing pipeline to new datasets in a distributed training setting

Undergraduate Research Assistant

University of Massachusetts Amherst

• Worked with Professor Andrew McCallum on fine-grained entity typing using PyTorch
• Developed a stacked BiLSTM with embedding-based loss functions and hierarchical type constraints
• Record-linked datasets including Amazon-GoogleProducts using a compound LSTM + CNN model

Undergraduate Course Assistant

University of Massachusetts Amherst

• Graded theory-intensive problem sets and exams in Artificial Intelligence and Algorithms
• Helped students in Computer Systems complete programming assignments written in C and assembly

Visiting Undergraduate Researcher

University of Southern California

• Worked with Professor Xiang Ren on reinforcement learning-based knowledge graph (KG) reasoning
• Formulated contextual text-structure embedding to augment inference paths with with non-KG entities
• Trained a PCNN with attention to perform distantly supervised relation extraction on inference paths

Undergraduate Research Intern

Information Sciences Institute

• Worked with Professor Craig Knoblock to build and link entities in a KG of space-related objects
• Implemented level-based access control for data across multiple Elasticsearch indices
• Extracted information on 1000s of satellites and incorporated data into Elastic workflow