What do you do with an an iOmics dataset?

My name is Mindy , and I am a senior in high school. Going into this summer, I had initially wanted to gain some bioinformatics experience. My first day, I was assigned to work on an iOmics dataset¹ with three other people and our objective was to find new associations between lipids, mRNAs, and phenotypes among others. Through working on that dataset and another multi-omics dataset², I learned about scikit-learn’s classification and clustering algorithms and how to apply those to data analyses. However, I also learned that to find more efficient algorithms; I would have to keep up-to-date on literature in the field and implement those to get better results.

   Outside of actually doing work though, I enjoyed the food, atmosphere, and people at SII! I mean how can you not love a place that buys chocolate chip cookies and cookies-and-cream ice cream sandwiches almost on-demand? SII does not feel like most office jobs. The employees here (shout out to fellow East Valley homie, Nico) including SII’s CEO, Chris, never hesitated to help and talk to us about how we could and should morph our ideas into profitable startup ideas. An example of this, Sarah and I are building a system at SII that detects if an underage person is near alcoholic beverages.

I plan on studying something in the CS, STEM, bioinformatics, biomedical engineering or electrical engineering. For now, I’m keeping my options open. Thanks to SII and everyone here for giving me the opportunity to explore a variety of fields this summer!

References:
  1. Saw, Woei-Yuh, et al. “Establishing Multiple Omics Baselines for Three Southeast Asian Populations in the Singapore Integrative Omics Study.” Nature Communications, vol. 8, no. 1, 2017, doi:10.1038/s41467-017-00413-x.
  2. Data provided by Immunomonitoring program at A*STAR/SIgN

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September 5, 2018

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