Aidan S Marshall

Biomaths & Computational Biology researcher in @sys_sig
group at @imperialcollege supervised by Nick Jones - scRNA seq, ageing, and machine learning

[Aidan S Marshall @RealASMarshall]

Discovering Cellular Mitochondrial Heteroplasmy Heterogeneity with Single Cell RNA and ATAC Sequencing https://t.co/ogUtBfsUKh via @MDPIOpenAccess

[Aidan S Marshall @RealASMarshall]

@overleaf @overleaf Your server is down right now!!

[Aidan S Marshall @RealASMarshall]

https://t.co/Ej73RhPLYT

[Sean Carroll @seanmcarroll]

Maybe we could just take a year off to read books.

[Systems and Signals @sys_sig]

Excited to launch a Schmidt Futures supported I-X Centre on AI in Science https://t.co/6SziTd3ore. 30 independent fellowships now live devoted to advancing science using AI. Jobs here https://t.co/c7f9ExkDZi. Over 130 years of fellowship time in total over 6 years.

[Aidan S Marshall @RealASMarshall]

Highly recommended, from a pro who taught me a thing or two about R.

[Oded Rechavi @OdedRechavi]

If Darwin went on his voyage of the Beagle today his research would've ended with a t-SNE of the bird specimens that he collected instead of a theory of evolution

[MRC MBU Postdocs @MBU_postdocs]

Our first postdoc talk of the year is this Thursday 🥳! Join us as @lbozhilova tells us what she’s been up to since joining Patrick Chinnery’s lab in September. This will be an informal social event, followed by a trip to the pub! 🍕🍻

[Vala Afshar @ValaAfshar]

When your children ask ‘why is engineering important?’, show them this video https://t.co/v7nh2e7Dft

[Aidan S Marshall @RealASMarshall]

Next up on my 2021 best reads list:

6) Introduction to Probability Models - Sheldon Ross https://t.co/F5NNesEOzp

Recommended for upgrading your intuition on a diverse range of models from Epidemiology to CompSci

[Aidan S Marshall @RealASMarshall]

Next up on my 2021 best reads list:

7) Causality: Models, Reasoning and Inference - @yudapearl
https://t.co/AWu1tYvsaS

Nothing short of an epistemic upgrade! Fluency in causal inference will become essential for 21st century thinkers across all domains. Learn do-calculus!

[Aidan S Marshall @RealASMarshall]

The subject underpins so important to understanding so much in ML and stats. If you’re new to LinALG, I would strongly recommend it! If you’re familiar with LinAlg, I’d recommend it even more! Don’t bother with other books.
Strang’s clarity of communication is inspirational

[Aidan S Marshall @RealASMarshall]

I thought I understood LinAlg. The next book on my 2021 best reads showed I was wrong!

8) Introduction to Linear Algebra (Gilbert Strang) https://t.co/8162GwIocA

Strang is a peak communicator who showed me the deep beauty of the subject unlike any other material I’ve seen.

[Aidan S Marshall @RealASMarshall]

Next on my 2021 best reads list:

9) Bioinformatics Data Skills, by @vsbuffalo. https://t.co/5mx2y15POR
This is THE book I wish has at the start of my PhD! It will not only show you how to do bioinformatics, but will explain WHY things are done the way they are!

#mathscistocking

[Systems and Signals @sys_sig]

#12bookstillxmas 2. Gödel, Escher, Bach by Douglas Hofstadter plus some introductory video lectures https://t.co/z0RWOHPUqz #mathscistocking

[Aidan S Marshall @RealASMarshall]

Inspired by @sys_sig’s annual Christmas book list, I will be sharing my top 10 reads of 2021. Kick starting with

10) Stochastic Models, Information Theory, and Lie Groups, Volume 1 https://t.co/0vMeg4nEVY

Never heard of a Wrapped Gaussian? Check it out!

[Francis DiTraglia @economictricks]

This flowchart from "Bernoulli's Fallacy" by @aubreyclayton made me chuckle over my coffee this morning:

[Shane Parrish @shaneparrish]

Loud failures. Silent successes.

[Aidan S Marshall @RealASMarshall]

Lucid ⁦@alex_andorra⁩ ⁦@aubreyclayton⁩ https://t.co/5Xnin3ma1f

[Aidan S Marshall @RealASMarshall]

A really excellent podcast on ways to communicate uncertainty! I think if ⁦@d_spiegel⁩ was in charge of the school curriculum, those of us who spent a lot of time confused about what probability really meant could have been saved so much time! https://t.co/o8hy9ogKlr