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I'm a PhD candidate in Medical Biophysics at the University of Toronto studying epigenetics and cancer. Math and physics background taking a step into bioinformatics and evolution

Academia is like "Be interdisciplinary and collaborate!"
"Present single-authored publications as proof of your worth!"

For a tl;dr, skip to the last section.

I often need to jump back to my notes when reading a new paper on this

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A big blog post about DNA sequencing analysis!

I often find papers describing "differential analysis" methods too complicated and don't talk about the forest from the trees.
I've tried to address the motivation and reasoning behind common statistical models for differential analysis and where some of the complication comes from.

Hopefully something like this will make it easier to see the forest.

Inspired by this earlier blog post^, I discuss more in depth a proof of the Central Limit Theorem. I also talk about something less often discussed, which is the convergence of the sample variance.

I found that using the notation I described earlier helped sort out some points of confusion that I and others have run into when trying to talk about just what the CLT is and does. Maybe this can help others understand it a bit better, too.

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I wrote some thoughts on mathematical notation and why I think certain concepts in stats are confusing as a result of bad notation.

I go through a couple examples that I've seen many people learning stats struggle with. Maybe this will be of use to somebody

My lab is looking for new postdocs and grad students!

If anyone is interested in functional epigenomics and cancer, consider applying!

Feel free to boost.

covid, canada 

This issue still remains, worse now than before.

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covid, canada 

Recent trends in COVID-19 cases does not look great. Stay vigilant out there

This is a cool model for sharing code snippets.

It feels a lot like modern Shakespeare books, oddly enough.
Text on one side and interpretations, references, and explanations on the other

It is a brand new week

I hope that you're safe and happy and maybe you can help others be safe and happy in it too

I gave my first online class today: it was me talking to the vacuum.

It was already difficult to involve the students, but in this format is almost impossible.

Here are some tips I've come up with for academics giving remote presentations.

Feel free to let me know what you'd add to this!

back to school, covid 

This is of course not an end-all-be-all solution for tackling the spread of COVID on campus this year, but seems a reasonable first step that involves the community and isn't a data-hungry software service, from what I can tell

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back to school, covid 

1. It doesn't require you to create a separate account
2. Its privacy policy and terms of service are clear and in plain language
3. It is well designed with a clear flow of information, bold colours for recommendations, and provides information from the University and public health organizations for those who have questions.

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back to school, covid 

The University of Toronto has contracted a Canadian health company to give students, faculty, and other employees a way to check their symptoms and receive recommendations on what to do.

COVID-19, vaccines 

This is a pretty good review of the state of SARS-CoV-2 vaccines being developed right now, how they work, and where they are at in clinical trial phases.

Coronavirus Vaccine Roundup, Early September

This is a great resource for tools:

e.g. want to try something like calling structural variants from sequencing data? Here are 3 benchmark papers comparing 88 different tools for short read and nanopore sequencing and the summary of their findings

Particle physics, new discovery, CERN 

The LHCb experiment at CERN found a new kind of composite particle at the Large Hadron Collider and I got to write about it for

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Scholar Social

Scholar Social is a microblogging platform for researchers, grad students, librarians, archivists, undergrads, academically inclined high schoolers, educators of all levels, journal editors, research assistants, professors, administrators—anyone involved in academia who is willing to engage with others respectfully.