Luke Harries

Hi! I'm an entrepreneur and software engineer

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About Me

I'm on a mission to solve real problems at scale.

To date, I've approached this in several ways: building companies; working as a software engineer developing websites, apps, and machine learning pipelines; consulting for early-stage tech startups on product development, technical hiring, and outsourcing; and making small angel investments.

I'm currently hacking on new projects.

Previously, I was the Head of Product at PostHog. Before that I was the CEO/co-founder of Fella a YC backed startup that helps men with obesity get to a healthier weight. I was an AI Resident at Microsoft Research working on deep reinforcement learning for automated software testing. I studied the MSc in Computer Science at UCL, completing my thesis with Cambridge Cancer Genomics, a Y Combinator backed BioTech Startup. I studied pre-med at Cambridge where I was the founding President of the Cambridge StartUp Society hosting events with startup founders and venture capitalists. My work on cognitive neuroscience was published. Alongside, I built Proteam, which we grew to be the largest platform for intra-university sport in the UK with 9,000+ users.

Blog Posts

What's the God mode?

March 31, 2020

If God were to design a login screen what would it look like? You wouldn’t need to remember 8-alphanumeric characters from 3 years ago. You…

The hidden power of HackerNews search

July 29, 2018

Hacker News Search is my go-to search engine Hacker News (HN) is fantastic for keeping up to date with the latest advancements in startup…


Guides

Launching a HIPAA compliant MVP

April 03, 2020

This is a guide for early-stage HealthTech startups who want to launch an MVP quickly and cheaply while following HIPAA regulation. It's the guide that I wish I had when setting up infrastructure for COVID-19 drive-through testing.

Useful resources

January 01, 2020

A collection of tools, guides, and courses that I found useful or wish I had found earlier! The topics include Computer Science, Machine…


Notes

Creating a new GSuite file

April 07, 2020

To quickly create a new GSuite file, use the following links: https://sheets.new to create a new Google Sheet https://docs.new to create a…

Projects

Here are two projects that I am proud to have led.

Deep Learning for Detecting Cancer Mutations 🔬

I completed my master's thesis with Cambridge Cancer Genomics (YC S17), leading the development of SomaticNet - a novel method for detecting cancer mutations.

The resulting paper was accepted at the Machine Learning for Health workshop at NeurIPS 2018 and the tool is publically available via CCG's website.

Proteam 🏉

During my final year at Cambridge, I co-founded and was CTO of Proteam which we built to solve the lack of organisation of University Sport.

The iOS and Android apps allowed students to follow teams, get notified of upcoming games, create team-sheets and much more.

We grew the platform to 9,000+ users across 6 Universities. You can find an archive of the website here.

Hackathons

From idea to prototype in 24-hours!

MyPhysio

🎉 Winner of HackCambridge 2019

We developed a tool to gamify physiotherapy workouts by using machine learning to classify poses. The aim is to increase adherence of at home workouts. All training and prediction is done in-browser using Tensorflow.js, reducing any reliance on servers and meaning your images never leave the computer - maintaining privacy.

VisualCognition

🎉 Winner of HackCambridge's Microsoft Prize 2018

For the millions of people with Visual Impairments, images online are inaccessible. We created a chrome extension which uses machine learning to automatically generate the missing image captions. The captions describe what's in the photo, who they are, and what any text says.

Visit VisualCognition.co for more information.

SeeingSight

🎉 Winner of Allia's Serious Impact Hackathon 2017

We created the proof of concept for faster, cheaper and more accurate screening of Macular Degeneration. It is built for Google Cardboard which turns any phone into a VR headset.

Our solution has three parts:
1. Mapping the functional visual field
2. Increasing awareness of what it's like living with MD
3. Warping a real-time camera feed to move images out of your blind spot

Visit Github for more information.

I love meeting people working on exciting things. If we haven't already met, reach out and let's phone or grab coffee!