update about me section

Author: adamkells

_config.yml

@@ -46,9 +46,10 @@ minima:
 # If you want to link only specific pages in your header, uncomment this and add the path to the pages in
 # order as they should show up.
 #
-# header_pages:
-#   - about.md
-#   - research.md
+header_pages:
+  - about.md
+  - links.md
+  - research.md
 
 # Set to `true` to show excerpts on the homepage.
 #

about.md

@@ -4,15 +4,24 @@ title: About
 permalink: /about/
 ---
 
-- I currently work for data consulting company Artefact as a data science manager.
-- Before that I spent two years developing causality techniques for time series at causaLens and a single year at the ill-fated furniture company MADE.com (RIP in peace).
-- I earned my PhD in Biophysics from [Kings College London](https://www.kcl.ac.uk/index.aspx) in 2019 where I was supervised by
-  [Edina Rosta](http://www.rostaresearch.com/) and
-  [Alessia Annibale](https://nms.kcl.ac.uk/alessia.annibale/web_page/).
-- Before my PhD I previously graduated with a 1st Class BSc in Theoretical
-  Physics from [UCD](http://www.ucd.ie/) in 2015 and a MSc (Distinction) in
-  Non-equilibrium systems from [KCL](https://www.kcl.ac.uk/index.aspx) in
-  2016.
-- I taught Physical Chemistry tutorials at all undergraduate levels and
-  was fortunate enough to be nominated for a teaching award in 2018.
-- Outside of data science and work I mainly fuel my Crossfit addiction and watch an eclectic mix of films.
+## About
+
+Hi there! I'm Adam and thanks for checking out my website!
+
+I'm on a mission to make data science better for everyone. I think there's too many unreliable models and bad data out there and I want to be part of making it easier to build good solutions.
+
+## Background
+
+Currently I work as a data science (DS) manager at [Artefact](https://www.artefact.com/) in London. I manage and deliver DS projects in lots of different areas but my specialist subjects are time series forecasting and NLP.
+
+Before my current role I led the data science team at MADE (RIP in peace) where I built a number of cool solutions (like a hierarchical time forecasting pipeline and a Bayesian framework for solving the cold start problem of new product pricing).
+
+Before MADE, I worked at deeptech startup causaLens where I helped to engineer a product for automating causal discovery in machine learning.
+
+
+I completed a PhD in Biophysics from [Kings College London](https://www.kcl.ac.uk/index.aspx) in 2019 where I published 9 papers in under 3 years. I was supervised by [Edina Rosta](http://www.rostaresearch.com/) and [Alessia Annibale](https://nms.kcl.ac.uk/alessia.annibale/web_page/). My research focus was on using Markov modelling to understand protein dynamics. I developed a number of novel algorithms for automating this.
+
+I graduated with a 1st Class BSc in Theoretical Physics from [UCD](http://www.ucd.ie/) in 2015 and a MSc (Distinction) in Non-equilibrium systems from [KCL](https://www.kcl.ac.uk/index.aspx) in 2016.
+
+## Outside Work
+Outside of data science I am really passionate about art in all it's forms. I love listening to music, watching films, reading books, going to the theatre, photography exhibitions, the list goes on! I'm hoping to add a section to the website at some point with my favourites. I also have a mild crossfit addiction.