Northwestern University

Master's of Science - Applied Artificial Intelligence and Machine Learning

Selected Projects:

Natural Language Processing of BioRxiv – Used BioRxiv API to download one year of scholarly
pre-print abstracts. Applied the BERT Large-Language Model (LLM) to tokenize abstracts. Built a
network of authors based on co-authorship. Created an intelligible 2-dimensional map using UMAP.
 

Alignment-Free RNA-Seq Deconvolution – Accessed Sequence Read Archive to download a benchmark
dataset. Used samtools to pre-process data. Developed a novel artificial-neural-network based tokenizer
to reduce dimensionality of RNA-seq data. Successfully demonstrated efficiency, accuracy and recall of
technique in identifying kidney-cell subtypes.
 

Economic Modeling of Rental Housing – Developed a Selenium-based web-scraper. Scraped entirety of
Chicago-area Craigslist apartment listings. Organized, cleaned and tabulated available attributes.
Developed an economic model to determine the impacts of each property attribute on rent prices.
Predicted return-on-investment of renovations and hypothetical listing prices.

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Professional Experience
Abbvie - Target Enabling Technologies
Scientist - Small Molecule Protein Biochemistry (Contract) January– December 2022.

• Proposed technical fixes to improve data quality and consistency in a SQL-based LIMS system.

• Developed a generative machine-learning model to propose candidate RNA aptamers using high-throughput sequencing results

• Collaborated with project owners to gather and understand research requirements and translate them into analytical tasks.

• Instructed other scientists in best practices for rigorous statistical analysis and experimental design.

Northwestern University Feinberg School of Medicine
Center for Structural Genomics and Infectious Disease
Laboratory Technician March 2018 – December 2021

• Presented, delivered and interpreted information amongst research team members working in  a collaborative, goal-driven environment.

• Compared performance of existing pipeline to a potential synthetic-DNA-based approach leading to substantial savings in both time and expense. 

• Served as a technical resource to overcome challenges experienced by collaborators.

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Abbott Laboratories - Diagnostics Division
Associate Scientist - Assay Development (Contract) February 2017 – March 2018

• Tested accuracy and precision of experimental biochemical assays.  

• Analyzed performance of high-throughput assays to evaluate precision and accuracy.

• Established standard operating procedure for guard-band testing and instructed other scientists in carrying out protocols.

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