THIS WEEK – Résumé Workshop
Do you have a professional résumé? Are you applying for internships and research labs? This week we welcome tech specialist Amy Yang of UW’s SuccessWorks to do a workshop on presenting yourself to employers. We’ll discuss the Do’s and Don’ts of résumé building.

LAST WEEK – Machine Learning Crash Course
Sorry for the delay. Thanks for coming to the machine learning crash course last Thursday! We had ML PhD Finn Kuusisto discuss a variety of different supervised learning models, specifically Neural Networks, SVMs, Decision Trees, k-Nearest Neighbor, etc. Finn also gave some insights on graduate study and some specifics about deep learning.

Thanks for coming to the meeting tonight! Here are the presentation slides on getting into research. The slides have some example/successful emails + general tips about labs. Apologies if tonight’s talk was a bit biology-laden; next week’s lecture should be more computational, as our guest lecturer will be giving an overview of Machine Learning.

Big thank you as well to Dr. Richard Barker (, who was kind enough to come in and discuss his research. He largely discussed his work and the context in which it occurs, as well as some exciting information about NASA. He also mentioned NASA does internships, which, due to the government security clearance, requires you to be an American citizen. While it’s too late in this semester to add on research credits to your schedule, next semester there will be an astrobotany course in which you can enroll and do research! (great résumé builder)

BARKER RESEARCH — [interest form!]
The research-credited course that Dr. Barker mentioned does not yet have a course number or departmental designation. I will let you all know when it does. In the meantime, please fill out the form so that he can reach out to you.


Thanks for coming tonight! Click here for the presentation slides. Major announcement regarding meeting time + frequency:

Meetings will be at 6:30pm every Thursday in Genetics-Biotech room 1441.

This frequency shift is due to the increase in interest from presenters + the number of topics we’d like to cover.
This time shift (later by 30 minutes) is because of room scheduling + some people had class.

We’ve now created a calendar with all meeting information!
[Subscribe here!]

Two different people specifically asked about making a slack group… We actually already have one!
😬 The slack channel is @dotdatagroup, so feel free to join

Someone mentioned a biological modeling course they had really enjoyed! If you’re interested, it’s Biochem 570 and the only pre-requisites are Calculus II and any intro bio sequence!

Semester Meeting Schedule (somewhat tentative):
• February 14th — Kickoff 
• February 28th — Getting into Research & NASA GeneLab 
• March 7th — Machine Learning Overview
• March 14th — Résumé Workshop (SuccessWorks)
• March 28th — SHELL: The Command Line
• April 4th — TBD (Data Visualization?)
• April 11th — TBD (Git: Version Control?)
• April 18th — TBD (Applying to graduate school?)
• April 25th — TBD (Bring in Researcher to hunt down undergrads?)
• May 2nd — Elections/Wrap-up meeting

Thank you to everyone who came last week to see the Genetic Algorithms and SAS presentations! I hope you all managed to get some pizza. :^)

If you missed the meeting or wanted to see the slides again, here is what we covered.

Genetic Algorithms:

If you have more questions about Genetic Algorithms, email Matthew at:


Some reminders from Rachel:
The registration for Student Symposium  is November 16th, teams of 2-4 with a faculty advisory will compete in a data challenge with a data set with SAS software to use. The top 3 teams will be highlighted at the Global Forum in April 2019.
SAS E-Learning – Access code is : G70007601
Free University Edition software
Video tutorials –
Free Book on Data Science
Apply to Internships on Handshake or here

If you have any questions for Rachel regarding SAS, contact her at:

Hello dotData!

Meeting Tomorrow (10/11/2018)

Reminder that we have our meeting tomorrow on Getting into Research + Preparing a Résumé for Internships (7pm in CS1221).

View the slides here if you can’t make it!

As always, Adithya and I will stick around afterwords to answer any questions you may have regarding classes, as well as discuss ongoing projects. We can give you some personal feedback on your résumé. There may be cookies.

• Bring your résumé if you have one!