I worked remotely with the Cell Marque division of MilliporeSigma on a project to centralize a main component of their R&D data. This involved cleaning and joining Excel datasets into a master file that correlated all the data with the matching unique tissue block ID. I spent time writing my own methods to manipulate inputs into consistent format. I also performed manual data cleaning and standardizing, which really helped teach me the importance of developing meaningful database schema and formatting. I created a syntax guide for the team to help standardize the data and made significant progress towards moving into a LIMS system.

I mentored a freshman at UW who wanted to join the bioengineering department. I connected him with labs and served as an advisor for his academic endeavors. This experience helped hone my ability to teach and help others. I enjoyed working with him and I'm glad I was able to engage in this opportunity via the Biomedical Engineering Society (BMES) at UW.

I created RShiny apps with informative statistics and various visualizations. This helped me learn about front and back-end design: how a server works with a UI. Through this experience I found a passion for building dashboards. I enjoyed applying my design skills to build a seamless visual interface. RShiny has great, simple tools that interface well with R packages like plotly and make building a website so simple!

At Remmie Health, I was an unpaid intern wherein I learned about the powers of ML with medical device imaging. I explored tools that can analyze images taken via their ear scope. I attempted to create computer vision algorithms myself and learned about the challenges of this process. This was the first experience that opened my eyes to the power of tech in healthcare.

As part of a term project, I worked with a group to develop a fluid handling system that can take in two input fluids from containers and create mixtures, typically for dilution. I learned how to use an Arduino Uno and write code in the IDE. We tested the device with bleach and water, and experimented with setting different desired concentrations. I learned about hardware programming and applied this skill to a research use case.

As part of my class, I worked on measuring EMG signals from the traps and delts. I used gel electrodes and gathered data while lifting different amounts of weight to varying heights. This was a fun process and actually gave me the idea for SleeveAI. I knew this data could be gathered from the skin, I understood how it could be meaningful, and I wondered why it wasn't being used to its full potential.