Writing Emails to Professor; Important tips & Samples for your consideration

Every year, Profs get several emails from students & difficult to accept all. You want to ensure yours is concise & deserve a response. This thread will provide insight & some samples you can use.

1/n

Your opening statement; Here, please briefly introduce yourself & connect your interest with the Prof's own (refer to sample attached). Mention one or two of the Prof's research areas that you've checked and find interesting.

2/n
Following this, let them know what you've done in the past: Demonstrate your experiences & tools you use (this is important for them to gauge your fit). E.g: I have good experience working with neural networks, ensemble forecasting & published a paper in ABC Journal.

3/n
Lastly, quickly summarize what you'd like to research & state again the skills you've got that will be a good addition to their lab. E.g: I'm interested in conducting research on improving model prediction in AI (the Profs interests). I use Python, ArcGIS & R for modeling.

4/n
SOME IMPORTANT POINTS TO CONSIDER

1. Your email should not be verbose. Ideally, I'd keep within 3 paragraphs (something one can read in 2minutes)

2. You can attach CV & Transcript, but not in a drive or folder. Have it there as an attachment, they decide to open it or not

5/n
3. You can have a Professional website when contacting Profs; this way, attach your sample projects, portfolio, writing samples, etc.

4. Ensure you have a signature (you can set it up in your email). If I ever sent you an email, you'd have seen mine- use something like that.
6/n
5. Don't bore the Prof repeating their work, show connection & why you'd make a good addition for their lab.

6. Be sure all your claims (either about their work or yours) are accurate. DON'T GIVE THE WRONG IMPRESSION.

7/n
7. Verify the Prof is active; if you can't find their page or pubs, they're either not doing any research again or retired- try to verify even on Twitter or LinkedIn.

8. Don't appear too desperate to join, show you have a value to add & convince them to believe in you.

8/n
9. You can use technical terms not generic like: "Request for supervision"- Reason is simple, if the Prof isn't interested in taking students, S/he will thrash your email not checking if you've got good skills. But if they open, they can be motivated & provide pointers.

9/n

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i almost feel bad for the guy, because someone this absolutely clueless about how he sounds really shouldn't be allowed to post under his own name.

he seems like someone who *genuinely* means well most of the time, but it extremely easy to excite and wind up, and who is just profoundly dense about the wisdom of getting wound up the way he does in public.

on the other hand, the tara reade business was indefensible, exploitative, and gross. if there is ever a writer who desperately needs an editor to save him from himself, it's nathan robinson.

i had a few friends in high school who were well-meaning, wealthier than they realized, and in drama class, and most of them grew out of their nathan robinson stage because, well, it was oklahoma. there's almost something a little charming about the fact that he didn't.
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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.