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1 | 1 | <!-- About Section --> |
2 | 2 | <section id="about" class="container content-section text-center"> |
3 | 3 | <div class="row"> |
4 | | - <div class="col-lg-8 col-lg-offset text-left"> |
5 | | - <h2>About Me</h2> |
6 | | - <p>I am a data scientist with hybrid interests in methods for large numeric data, engineering machine learning solutions for these data, and collaborating in diverse teams. My interests in numeric data originated in bioinformatic data while studying statistics at Brown University, and I then followed this path to a Harvard affiliated research institute working with several types of ‘omics data, motivating me to attend graduate school in statistics at Oregon State University. </p> |
7 | | - <p>With an MS in statistics, I continued to Pacific Northwest National Lab in Seattle, WA, where I worked in both Data Science and Software Engineering teams, implementing containerized and deployed workflows using high dimensional numeric data, including a dashboard with on-demand model retraining for a dozen distinct prediction methods, and a data engineering project standardizing multiple disjoint sets of data for deep learning predictions on the combined data.</p> |
8 | | - <p>As a collaborator, I am skilled at understanding and interpreting leadership goals and translating them into a feasible technical solution accomplishable in a timely manner. I prioritize mentoring, sharing knowledge and asking questions. </p> |
9 | | - <p>My primary professional goal is to engineer reliable, precise, well-designed machine learning solutions as a trusted team member in contexts with high-volume streams of numeric data. </p> |
| 4 | + <div class="col-lg-8 col-lg-offset text-left text-sm-center"> |
| 5 | + <h2>About</h2> |
| 6 | + <p>I am a data scientist interested in engineering solutions for large numeric data and collaborating in diverse teams. </p> |
| 7 | + <p>I am fascinated by opportunities to use data to draw meaning and make predictions because of the impact and insight the results can provide into the real world. This fascination grew out of the world of high-dimensional bioinformatic data, but now includes financial, sensor, and simulation data. </p> |
| 8 | + <p>Favorite projects that I have worked on include an interactive dashboard running a suite of ML models on bioinformatics data to classify which cells were infected. I was responsible for implementing the machine learning, optimizing model run time and deploying via containerization. </p> |
| 9 | + <p>Another favorite project was creating an ETL process for tens of millions of JSON records stored in a NoSQL database, inaccessible to the team when I joined, and working with leadership to design reproducible visualizations answering the project’s most pressing questions. </p> |
| 10 | + <p>I also love to mentor, teach, and share knowledge via publication, co-working or answering questions based on the data. </p> |
| 11 | + <p>Away from my desk, I enjoy being outdoors, biking and hard-copy reading in a variety of genres.</p> |
10 | 12 | </div> |
11 | 13 | </div> |
12 | 14 | </section> |
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