Highly accomplished PhD candidate in Computer Engineering with extensive expertise in computational biology, genomics, and machine learning, currently completing a Predoctoral Visiting Fellowship at the National Cancer Institute (NIH). Proven ability to develop advanced computational frameworks and algorithms for complex biological data, including single-cell and spatial genomics, DNA methylation, and whole exome sequencing, with a strong publication record. Eager to apply innovative computational methods to investigate tumor cell plasticity and therapeutic resistance within the Chan Lab at Memorial Sloan Kettering Cancer Center, contributing to impactful translational oncology research.
Predoctoral Visiting Fellow
Bethesda, MD, US
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Summary
Leading advanced computational biology research at the intersection of genomics and cancer, developing novel algorithms and frameworks for analyzing complex biological data.
Highlights
Developed and deployed a novel computational framework for precise genotyping and copy number analysis of Immunoglobulin Heavy Chain Variable genes using short-read sequencing data, significantly advancing immunogenomics research.
Enhanced existing pharmacogenes genotyping tools by integrating additional genes of interest, significantly expanding the scope and utility for genetic analysis in cancer research.
Designed and co-implemented an iterative algorithm to infer brain cell development profiles and quantify cell type proportions within glioblastoma patient samples, leveraging DNA methylation data to reveal cellular heterogeneity.
Conducted in-depth computational analysis of MAIT cell roles in glioblastoma, contributing to understanding immune evasion mechanisms and potential therapeutic targets in tumor microenvironments.
Contributed to the scientific community as a reviewer for prestigious conferences including ACM-BCB, RECOMB, and ECCB/ISMB, ensuring high standards of research dissemination in computational biology.
Summer Intern
Bethesda, MD, US
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Summary
Implemented a machine learning classifier to differentiate tumor types, contributing to early-stage cancer diagnostics research.
Highlights
Developed and validated a machine learning classifier to accurately differentiate between two distinct tumor types based on whole exome sequencing data, enhancing diagnostic capabilities for cancer research.
Teaching Assistant - Parallel Algorithms
College Park, MD, US
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Summary
Supported the instruction of parallel algorithms, helping students grasp advanced computational methods.
Highlights
Assisted in the delivery of course content on parallel algorithms, translating complex topics into understandable concepts for students.
Evaluated assignments and provided constructive feedback, contributing to student understanding and skill development in parallel computing.
Teaching Assistant - Digital Computer Design
College Park, MD, US
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Summary
Supported students in digital computer design, fostering practical skills in logic and circuit implementation.
Highlights
Guided students through digital logic design and circuit implementation, facilitating hands-on learning and project completion.
Offered expert assistance during design exercises and debugging sessions, improving student proficiency in digital systems.
Teaching Assistant - Math. Foundations For Comp. Engg.
College Park, MD, US
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Summary
Provided instructional support and mentorship to undergraduate students in foundational computer engineering mathematics.
Highlights
Guided students through complex mathematical concepts and problem-solving techniques, improving comprehension and academic performance.
Facilitated weekly discussion sections and office hours, offering personalized assistance and reinforcing course material for diverse student groups.
Teaching Assistant - Computer Organization
College Park, MD, US
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Summary
Assisted in teaching computer organization principles, enhancing student understanding of hardware-software interaction.
Highlights
Clarified intricate concepts of computer architecture and organization, enabling students to grasp fundamental system design principles.
Provided practical support for laboratory sessions and project work, ensuring students successfully applied theoretical knowledge.
Teaching Assistant - Parallel Algorithms
College Park, MD, US
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Summary
Supported the instruction of parallel algorithms, helping students grasp advanced computational methods.
Highlights
Assisted in the delivery of course content on parallel algorithms, translating complex topics into understandable concepts for students.
Evaluated assignments and provided constructive feedback, contributing to student understanding and skill development in parallel computing.
Teaching Assistant - Math. Foundations For Comp. Engg.
College Park, MD, US
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Summary
Provided instructional support and mentorship to undergraduate students in foundational computer engineering mathematics.
Highlights
Guided students through complex mathematical concepts and problem-solving techniques, improving comprehension and academic performance.
Facilitated weekly discussion sections and office hours, offering personalized assistance and reinforcing course material for diverse student groups.
Senior Software Engineer, Memory Controller Division
Bengaluru, Karnataka, India
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Summary
Led software development initiatives within the Memory Controller Division, focusing on enhancing system performance and reliability for advanced semiconductor products.
Highlights
Optimized memory controller algorithms, contributing to significant improvements in data processing efficiency and system throughput.
Collaborated with cross-functional engineering teams to design and implement robust software solutions for next-generation memory architectures.
Contributed to the full software development lifecycle, from requirements gathering and design to testing and deployment, ensuring high-quality product delivery.
Intern
Noida, Uttar Pradesh, India
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Summary
Supported software development projects, gaining foundational experience in industrial research and development.
Highlights
Assisted in the development and testing of software components for memory controller systems, ensuring adherence to project specifications.
Contributed to documentation and preliminary analysis tasks, supporting senior engineers in project execution.
Member, ECE Graduate Student Association
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Summary
Actively participated in the Electrical and Computer Engineering Graduate Student Association, contributing to the graduate student community.
Highlights
Engaged in initiatives to foster a supportive and collaborative environment for graduate students within the ECE department.
Contributed to organizing academic and social events, enhancing student life and professional networking opportunities.
Member, UMD Table Tennis Coed team
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Summary
Participated as a member of the University of Maryland Table Tennis Coed team, promoting teamwork and athletic engagement.
Highlights
Represented the university in coed table tennis competitions, demonstrating sportsmanship and dedication.
Contributed to team cohesion and skill development through regular practice and collaborative play.
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PhD
Computer Engineering
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Masters
Computer Engineering
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Bachelors and Masters
Electrical Engineering
Awarded By
University of Maryland, College Park
Recognized for outstanding potential and contributions in data science, supporting advanced research initiatives.
Awarded By
University of Maryland, College Park
Awarded for exceptional academic achievement and scholarly promise within the university's graduate program.
Published by
Neuro-Oncology Advances
Summary
Investigated the immunosuppressive functions of MAIT cells in glioblastoma, identifying their role through a MAIT-Neutrophil axis.
Published by
Cancer Research
Summary
Applied combinatorial optimization to DNA methylation data to elucidate developmental programs and cell type compositions in glioblastoma.
Published by
Bioinformatics
Summary
Developed a biologically-informed tool for annotating killer cell immunoglobulin-like receptor genes, enhancing immunogenomic analysis.
Published by
Proceedings of the 2023 ACM Workshop on Highlights of Parallel Computing
Summary
Presented an empirical challenge for NC Theory, contributing to the understanding of parallel computing complexities.
Published by
Genome Research
Summary
Developed an efficient genotyper and star-allele caller specifically designed for pharmacogenomics applications.
Published by
Cell systems
Summary
Introduced ImmunoTyper-SR, a computational method for genotyping immunoglobulin heavy chain variable genes from short-read data.
Published by
RECOMB. Springer
Summary
Presented ImmunoTyper-SR, a novel computational approach for genotyping immunoglobulin heavy chain variable genes using short-read data.
Published by
Advances in Neural Information Processing Systems
Summary
Introduced Pettingzoo, a Gym-compatible library for multi-agent reinforcement learning environments.
Published by
arXiv preprint
Summary
Explored parameter sharing strategies in multi-agent deep reinforcement learning, published online.
Published by
arXiv preprint
Summary
Investigated agent environment cycle games within reinforcement learning, published online.
Published by
arXiv preprint
Summary
Developed Supersuit, a collection of simple microwrappers to facilitate reinforcement learning environment development, published online.
Python, C, XMTC.
LaTeX, SLURM, Bash.
Genomics, Single-Cell Genomics, Spatial Genomics, DNA Methylation Analysis, Whole Exome Sequencing, Immunogenomics, Cancer Research, Tumor Cell Plasticity, Lineage Plasticity.
Machine Learning, Algorithm Development, Statistical Analysis, Multi-modal Data Integration, Predictive Modeling, Classifier Development.
Scientific Writing, Peer Review, Academic Mentorship, Research Methodology.