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Emma Crawford

@emmacrawford

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Mathematical scientist specializing in scalable single-cell algorithms and ML.

Switzerland

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What I'm looking for

I seek research-focused roles applying scalable algorithms and ML to biological data, collaborative teams, access to HPC, mentorship opportunities, and clear pathways for impact and publication.

I am a mathematical scientist with a Ph.D. focused on graph-based algorithms for single-cell data analysis and a strong foundation in applied mathematics and computer science.

I design and rigorously validate algorithms and pipelines, having engineered features from spatial proteomics, adapted image segmentation for multichannel tissue images, and built ML pipelines for clinical outcome prediction.

My professional experience spans research and industry internships where I improved robustness of inter-modality alignment methods, created parallelized testing frameworks for HPC, and verified complex library mappings for production tooling.

I communicate technical results clearly through publications, presentations, and teaching, and I mentor students while leading initiatives that support research and community engagement.

Experience

Work history, roles, and key accomplishments

Current

Mathematical Problem Design

Current

Mercor

Oct 2025 - Present (3 months)

Designed and verified high-difficulty mathematical problems and solution sets to evaluate and stress-test AI reasoning systems, ensuring precision and logical rigor across quantitative domains.

Mathematical Modeling Problem Design QA Technical Writing Python Logical Reasoning

Spatial Omics Intern

Genentech

May 2024 - Aug 2024 (3 months)

Analyzed and improved open-source Python methods for inter-modality alignment of single-cell and spatial omics data, implemented parallelized hyperparameter testing on HPC, and presented results to the Spatial Omics team.

Python High Performance Computing PyTorch Data Analysis LLM Assisted Curation

Software Engineering Intern

Intel Corporation

May 2019 - Aug 2019 (3 months)

Adapted NVIDIA Thrust testing framework for Intel's DPC++ Compatibility Tool, executed and analyzed ~900 unit tests validating Thrust-to-DPC++ mappings, and presented findings to management.

C++Testing Frameworks Unit Testing Performance Analysis Git

Education

Degrees, certifications, and relevant coursework

University of North Carolina at Chapel Hill

Doctor of Philosophy, Mathematics

2020 - 2025

Activities and societies: Instructor for Discrete Mathematics and Differential Equations computational lab; Teaching assistant for undergraduate math courses; Leadership roles in UNC Graduate Mathematics Association and Directed Reading Program; publications in computational biology.

Ph.D. in Mathematics focusing on graph-based algorithms for single-cell data analysis, including development of scalable algorithms and related publications.

Texas A&M University

Bachelor of Science, Applied Mathematics - Computer Science

2016 - 2019

Bachelor of Science in Applied Mathematics with a Computer Science focus, involving coursework and projects in computational methods and machine learning.