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Professional Summary¶
Computational linguist and applied research engineer bridging academic research and production software. Expert in natural language processing (NLP), large language models (LLMs), and high-performance computing (HPC), with deep experience in Clinical Information Extraction. Proven record of deploying production software (Python, Java, C++) and managing data pipelines on AWS and GCP. Strong leadership and communication skills; experienced coordinating researchers and engineers to deliver innovative AI solutions. Co-author of 50+ publications and co-inventor on 8 U.S. patents.
Technical Skills¶
Languages: Python, Java, C++, SQL, Bash
Cloud & Infrastructure: AWS, GCP, HPC, Linux clusters, Docker
Data Science & AI: NLP, LLMs, machine-learning pipelines, data engineering
Methodologies: software design, agile development, infrastructure as code (IaC)
Professional Experience¶
IMO Health · Rosemont, IL
Senior R&D Engineering Manager · 2025–present
Lead a team of Ph.D.-level AI researchers building clinical NLP solutions with generative AI; set technical direction, research roadmap, and delivery milestones
Contribute hands-on: prototype and productionize LLM/RAG pipelines (ingestion → chunking → embeddings → hybrid retrieval → grounded generation)
Establish an internal evaluation platform to measure and track performance across multiple benchmarks
Partner with Product and MLOps to improve serving performance and observability, reducing latency and cost while maintaining accuracy
Northwestern University — Kellogg School of Management · Evanston, IL
Lead Computational Research Consultant (previously Senior Research Consultant) · 2019–2025
Led a team of senior computational consultants supporting faculty and Ph.D. students with complex research engineering needs
Defined and implemented infrastructure strategies for the Kellogg Linux cluster and university HPC environments
Architected cloud solutions on AWS and GCP for large-scale datasets and computationally intensive workflows
Drove technical innovation in NLP applications, leveraging LLMs for academic research
Developed teaching materials and workshops to upskill the research community
Conversant LLC · Chicago, IL
Senior Director, Decision Sciences · 2017–2019
Directed a team of data scientists building ML pipelines and NLP applications for a massive-scale personalization platform
Engineered tools with Apache Spark to process and analyze petabyte-scale datasets
Collaborated with Product and Engineering to define roadmaps and execute releases
Built a large-scale ML pipeline to optimize product-recommendation advertising for major clients
Led initiatives using NLG to auto-generate personalized ad messaging
Northwestern University — Feinberg School of Medicine · Chicago, IL
Research Assistant Professor (previously Senior Research Associate) · 2010–2017
Applied advanced NLP to extract structured information from unstructured clinical text in the Northwestern Medical Enterprise Data Warehouse
Developed electronic clinical quality measures (eCQMs) and phenotype algorithms for the NIH-funded eMERGE network and Pharmacogenomics Research Network (PGRN)
Created standards-based executable phenotype algorithms enabling data sharing across medical institutions (Grants: VA QUE 15-283; NIGMS R01 GM105688-01)
Previous experience available on request
Education¶
Ph.D., Linguistics — Northwestern University, Evanston, IL (2009)
Dissertation: A Game-Theoretic Model of Grounding for Referential Communication Tasks · Cognitive Science Fellow (1997)M.A., Linguistics — University of British Columbia, Vancouver, BC (1995)
B.A., Linguistics — University of Chicago, Chicago, IL (1991)
Selected Achievements¶
Patents: Co-inventor on 8 U.S. patents
Publications: Co-author on 50+ publications in computational linguistics and data science
Grants: Principal Investigator and Co-Investigator on multiple NIH-funded research projects