Seagen was acquired by Pfizer in December 2023.• Establish and lead the Bioinformatics Programming team within Translational Oncology Bioinformatics, specializing in developing coded solutions to support bioinformatics analysis.• Devise strategic methods to automate biomarker data quality control, enhancing data accessibility and expediting decision-making processes in clinical trials.• Manage a dynamic team of programmers, overseeing the successful implementation of robust data pipelines.• Serve as a principal leader and liaison for internal and cross-functional data process collaborations.• Represent Translational Sciences on the Data Standards Committee and Clinical Biomarkers and Diagnostics on the Lab Standards Committee, contributing to the establishment of company standards.

• Lead a team of analysts to standardize and automate QC of biomarker data from clinical trials. • Develop standards for biomarker data and data processes and gain alignment from key leaders. • Leader and point of contact for internal and cross-group data processes.• Represent Translational Sciences on the Data Standards Committee and Clinical Biomarkers and Diagnostics on the Lab Standards Committee. • Founded and engaged 250+ members in a cross-functional, collaborative community of programmers at Seagen (SeaCode). Host monthly symposiums and Teams channel. • Recruited 11 leaders from 8 distinct departments to lead focused subgroups for SeaCode.

• Expand and formalize data pipelines used for capturing biomarker and clinical data that can drive understanding and downstream modeling of drug efficacy. • Oversee QC analysts carrying out study-specific data ingestion and harmonization.• Develop standards for biomarker data and data processes and gain alignment from key leaders. • Leader and point of contact for internal and cross-group data processes.• Represent Translational Sciences on the Data Standards Committee and Clinical Biomarkers and Diagnostics on the Lab Standards Committee. • Founded and engaged 250+ members in a cross-functional, collaborative community of programmers at Seagen (SeaCode). Host monthly symposiums and Teams channel. • Recruited 11 leaders from 8 distinct departments to lead focused subgroups for SeaCode.

Identified and explored mismatches between company and collaborator sensor data to validate a new business venture.

• Analyzed messy, real-world free-response survey data from conference attendees using Natural Language Processing techniques. Used these insights to generate data visualizations able to clearly communicate the impact of this meeting to shareholders. • Lead communications with the 19 conference speakers, including providing curated content on using Zoom Meetings and holding live training and practice sessions. • Provided day-of-conference support including checking in with speakers prior to their sessions, immediate technical help, and moderation of the Zoom Meeting (a meeting of 650 attendees, 150 of which were sharing video simultaneously, for the duration of the day). To find out more about the conference, please see: https://futureforusassembly2020.splashthat.com/

Developed scripts to clean and optimize company’s patient database to improve efficiency in study design and company operations.

The Cambia Grove Innovator Fellowship was an 8-week full-time fellowship with Cambia Grove and Fred Hutch. I was one of two fellows in the inaugural cohort and worked on (i) aggregating reference data into a cohesive data catalog and (ii) building a workflow to visualize single-cell RNA sequencing experiments on the web, leveraging cloud computing tools. Our first project was to pool data sets from 25 sources into a standard biological data catalog that can be accessed through consistent web-optimized application programming interfaces (APIs). Some of the sources that we pooled include: • Gene and ClinVar information from NCBI • PubMed articles• Pathways from Pathway Commons• Gene annotations from GeneCards Together the data now stored in our data catalog is 2 terabytes and is publicly available to researchers and non-profits. The second project we worked on was to build cloud infrastructure to support single cell RNA sequencing analysis. Our solution allows researchers to run multiple methods of analysis (i.e. seurat, scanpy, monocle3) simultaneously in the cloud and compare results via websites with collaborators who are not familiar with programming. Our system utilizes a workflow manager called Nextflow (https://www.nextflow.io/), docker containers, and the AWS ecosystem (S3, Lambda, and Batch).

Researched devices and systems to extend a large and complex ontology to be used as training data by data scientists to identify novel market opportunities for innovative companies.

Built four end-to-end machine learning models which includes idea generation, data collection, data cleaning, model optimization, and model validation. These projects are as follows: • A classification model to detect whale calls from audio recordings and which allows ships to avoid hitting whales near harbors. (https://github.com/kmussar/Whale_Call_Detection) • A regression model to predict hiking trail ratings which can be used to determine what makes a great trail. (https://github.com/kmussar/Predicting_Washington_Hiking_Trail_Ratings) • An unsupervised clustering model to label health-related tweets into distinguishable groups for future use in flu prediction models. (https://github.com/kmussar/TwitterFlu) • A regression model to detect patients at high risk of developing infections in the ICU from central lines. Furthermore, I investigated this model to identify features correlated with infections so that they can be prevented. (https://github.com/kmussar/ICU_predictions) I invite you to view my projects on my github portfolio as well as view my presentation about my model predicting infections in the ICU. This presentation was recorded at Career Day at Metis - a capstone presentation for the bootcamp. I have also included presentation slides.

• Independently executed ~800 research agreements, including large multiparty efforts.• Negotiated 11 research agreements and licenses with minimal oversight from colleagues, resulting in over $300k in revenue. • Initiated, designed, and implemented a center-wide intake system resulting in enhanced process efficiency. Articulated the need for this new system to stakeholders and coordinated parallel work streams across multiple administrative departments.

• Created market research reports for academic researchers transitioning their projects into the commercial space. Reports summarized the innovation, the applications of the idea, and the competitive market surrounding the product. • Wrote public announcements of new products developed within the University of Washington that were entering the market.

During my PhD, I studied approaches to regenerate the pancreas and cure diabetes. Type 1 diabetes is caused by a lack of functional beta cells, the cells that produce insulin. My aim was to find a way of producing more, or regenerating, functional beta cells. In order to study regeneration, I first looked at how the pancreas naturally develops. I identified a population of cells in newborn mice that regulate the beta cells’ ability to (a) divide and (b) become fully functional. Furthermore, I identified a protein that controls these effects which can now be used to develop a new treatment for diabetes. My results are published in the Journal for Clinical Investigation and can be found here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543911/. Additionally, I applied for, and received funding, through the crowdfunding initiative, the Diabetes Research Connection; my project and presentation slides can be found here: https://diabetesresearchconnection.org/cause/creating-new-insulin-producing-cells-to-repair-damaged-pancreas/.

Assisted in the purification and production of antibodies against elements of the influenza, rhinovirus, cytomegalovirus, and HIV viruses for therapeutic products.

• Contributed to two publications on the role of Tbr2 in the development of the hippocampal fields within our lab. • Aided a collaborator with their work on inner ear insult and respiration. • Assisted postdoctoral researchers with technical procedures, mentored undergraduate students, andmanaged laboratory supplies.

• Assisted students one-on-one with lecture material and lab reports; prepare quizzes and handouts for group review sessions•Managed tutoring sessions: directed check-in and out procedures

Aided in investigating the functional roles of E-cadherin in dentate gyrus progenitors and their progenies during development.

Assisted in investigating the injury of midbrain dopaminergic systems following exposure to Polychlorinated Biphenyl (PCB).

Summer Intern: 2005 & 2006Purified and crystalized three proteins over two summers. Protein structures are available through NCBI (links below).