I firmly believe in giving back to the community I came from, as well as paying forward and making (geometric) deep learning more inclusive to underrepresented communities in general.
Accordingly, this summer you can (virtually) find me on several summer schools! A thread (1/9)
Accordingly, this summer you can (virtually) find me on several summer schools! A thread (1/9)
At @EEMLcommunity 2021, I will give a lecture on graph neural networks from the ground up, followed by a GNN lab session led by @ni_jovanovic. I will also host a mentorship session with several aspiring mentees!
Based on 2020, I anticipate a recording will be available! (2/9)
Based on 2020, I anticipate a recording will be available! (2/9)
Alongside @mmbronstein @joanbruna @TacoCohen, I will be co-hosting a course on Geometric Deep Learning for the African Master of Machine Intelligence @AIMS_Next.
This will closely follow our recently-released proto-book and we hope to make materials more broadly available. (3/9)
This will closely follow our recently-released proto-book and we hope to make materials more broadly available. (3/9)
At this year's PSI:ML seminar (powered by @MicrosoftSrbija et al.), I will deliver a longer introductory lecture on GNNs and geometric DL.
PSI:ML is the prime machine learning summer school for undergrads in my home country, and I am honoured to be invited to speak there. (4/9)
PSI:ML is the prime machine learning summer school for undergrads in my home country, and I am honoured to be invited to speak there. (4/9)
Lastly, I joined @logml2021 as a project mentor (steering a mini-project which unifies graph neural networks, classical algorithms, and text adventures). I found the opportunity of tightly collaborating with attendees very attractive, and I look forward to the result! (5/9)
Why do all of these? Here are a few reasons:
My researcher career was largely made possible by individuals and organisations---in Serbia, the UK and Canada---who offered me their support, either motivational, inspirational or financial, when I had no results to justify it. (6/9)
My researcher career was largely made possible by individuals and organisations---in Serbia, the UK and Canada---who offered me their support, either motivational, inspirational or financial, when I had no results to justify it. (6/9)
It is wonderful to be able to give such support to aspiring students, either in the community you came from or more widely.
If you get such an opportunity, seize it! Not only might you positively affect somebody's future career, you're likely to gain amazing collaborators. (7/9)
If you get such an opportunity, seize it! Not only might you positively affect somebody's future career, you're likely to gain amazing collaborators. (7/9)
But besides the opportunity to empower, I've found that participating in seminars consistently improved my ability to communicate science, which, surprise-surprise, results in better-written papers. :)
The best way to understand something is to explain it to somebody else! (8/9)
The best way to understand something is to explain it to somebody else! (8/9)
Finally, it's usually *not* too early to think about contributing in this way.
I started by asking to give the occasional seminar about computer science in my old high school, while I was still in my undergrad. Opportunities tend to magnify at PhD student level & beyond! (9/9)
I started by asking to give the occasional seminar about computer science in my old high school, while I was still in my undergrad. Opportunities tend to magnify at PhD student level & beyond! (9/9)
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