Alfie Brown in the lab

Alfred Brown

Creating an epistemic shift in synthetic biology, with AI and automation.

PhD candidate · Imperial College London

Research

Engineering E. coli

PhD · Imperial College London · 2024–2027 · supervised by Prof. Geoff Baldwin & Prof. Cleo Kontoravdi

Aim 01Rapidly construct effective CRISPR librariesAutomated MAD7 (Cas12a) guide design and BASIC / Golden Gate assembly, taking a target list to ready-to-build constructs with minimal hands-on time.
Aim 02Optimise strains for bioproduction of endogenous and exogenous metabolitesOverexpression screens paired with constraint-based modelling to push metabolic flux toward target products, native and non-native.
Aim 03Optimise strains for growth on alternative feedstocksPhenotyping across defined media to find and engineer strains that grow on cheaper, non-standard carbon sources.
Aim 04Integrate automation and predictive modelling to close the loopLiquid-handling automation and predictive models (FBA, ML) feed each result back into the next round of design.
DNA-BOT · assembly CRISPR_Overexpression · guide design · private MediaBOT · media assembly · private
Projects

Live Sciences

Live Sciences is a working prototype of an open, live laboratory: every experiment automated, streamed and recorded in full, from the reagents to the raw sensor data. The premise is that changing how science is done changes what can be known: a complete, verifiable record changes how results are interpreted, and an open one changes how discoveries get made.

  • Automation — open-source liquid handling and sensors log every step and the conditions around it.
  • Verification — livestreaming and time-stamped logging keep the record accountable and unalterable once made.
  • Interpretation — an AI layer makes the whole experiment legible, so anyone can question and build on it.
Live SciencesA Biological Oracle

A way to trust a result without trusting the lab that produced it: verification built into the data by construction, from logged reagents to immutable raw data to network consensus.

This livestream questions what it means to do science, how people perceive the scientific process, and surfaces ways of thinking about doing science outside of the Overton window.

Video thumbnail, opens on YouTube Watch the video ↗

AI co-scientist

I am AI-native. I run an AI co-scientist across my own research.

Notebook

Self-writing lab notebook — daily logs and weekly digests generated from your working sessions.

Literature

Reading pipeline — reference manager and search feeds turned into structured, annotated notes.

Meetings

Meeting capture — call transcripts filed, summarised and made searchable automatically.

Analysis

Analysis on tap — generated code for growth curves, sequencing and metabolic modelling.

Vision

Bench vision — reading plates, gels and instrument outputs from a single photo.

Briefings

Scheduled briefings — calendar and priorities pulled together each morning.

Other experience

50Y · 5050

Founder, 5050 programme · Mar–Jun 2026  |  5050 Catalyst · 2025

Went through the 5050 founder programme after helping launch 5050 UK as a Catalyst at Fifty Years. 5050 backs people building civilisationally important companies.

DeSci London

Co-founder · Jun 2022 – Sep 2024

Ran monthly decentralised-science events and grew a 700+ community across academia, industry, policy, tech and finance. Delivered the DeSci London Conference in 2023 and 2024 at the Francis Crick Institute and Imperial College, leading teams of 20+ to put on events for 500+ people and raising over $80k.

SynBioBeta

Sales & Programme Support · Feb 2023 – Jun 2024 · remote

Owned the sales function and grew it several-fold, and built out SynBioBeta's global network of students and startups. Ran the Introduction to Synthetic Biology course and moderated panels on decentralised science and bioeconomy policy, and curated events such as Blockchain Meets Bio.

OpenCell

R&D Product Researcher · Nov 2021 – Oct 2022

Helped build an open-source laboratory IoT sensor system to capture the metadata that decides whether experiments reproduce, curated the GitHub org, and pitched it to investors and users. The reproducibility thread I chase now starts here.

Skills

Wet lab

  • Cloning — BASIC & Golden Gate, plasmid prep
  • CRISPR — MAD7 / Cas12a, lambda-red, Onyx library build
  • Strain engineering — inducible overexpression, curing
  • PCR & sequencing — colony PCR, Sanger, Nanopore
  • Cytometry & growth assays — FACS, plate reader, turbidostat
  • Liquid handling & HT screens — Opentrons, Media-BOT, DNA-BOT

Computational

  • AI-native workflow across the research stack
  • Flux balance analysis — COBRApy, iML1515, OptForce, AMN
  • RNA-seq — STAR, featureCounts, pyDESeq2, GO enrichment (STRING)
  • Growth-curve modelling — Gompertz / Zwietering, custom rate fitting
  • Guide design — FlashFry, RNAfold, PAM-proofing, primer design
  • Python — pandas, NumPy, SciPy, matplotlib, seaborn, scikit-learn
  • Statistics — Welch's t, Mann–Whitney U, FDR, ICC, Bland–Altman

Founder & operations

  • Event delivery — 6 conferences, 300–5,000 people
  • Building and running communities
  • Sales, BD, investor communication

Off the clock

  • DJSoundCloud
  • Endurance sport — Gold for Great Britain in Rowing, IronMan 70.3
  • Surfing & cold-water swimming
  • Python, web design, Figma, basic electronics
Full record
2024–27
PhD, Synthetic Biology · Imperial College LondonAccelerating organism engineering through the application of machine learning
2026
Founder, 5050 programme · Fifty Years
2025
5050 Catalyst · Fifty YearsAiding the launch of 5050 UK
2023–24
MRes, Systems & Synthetic Biology · Imperial College London · DistinctionThesis: a CRISPR-enabled overexpression library for strain engineering in E. coli
2022–24
Co-founder · DeSci LondonDeSci London Conference 2023 & 2024 at the Francis Crick Institute and Imperial College
2023–24
Sales & Programme Support · SynBioBeta
2021–22
R&D Product Researcher · OpenCellOpen-source laboratory IoT sensor system
2021
Medical Laboratory Assistant · OpenCell COVID-19 Testing Lab, Jersey
2021
Scientific & Technical Lead · Creative Culture, HBBEBiodesign Challenge 2021
2019–20
Laboratory Assistant · Jeremy Lakey's Lab, Newcastle UniversityE. coli expressing Caf1 for biomaterials (wound healing, 3D tissue culture)
2018–21
BSc Biochemistry, First Class · Newcastle UniversityDissertation: non-canonical nucleolar functions of the polycomb protein CBX8
Reading

Papers

Lehman & Stanley · Abandoning Objectives (2011)open-ended search beats an assumed objective
Qu et al. · CRISPR-GPT (2024)agentic AI for gene-editing experiments
Sidewinder · DNA via three-way junctions, Nature (2025)building the genomes that AI designs
Faure et al. · neural-mechanistic hybrid metabolic models (2023)AI meets mechanistic modelling
Cole et al. · interlab reproducibility of cell-free expression (2019)the Live Sciences problem, quantified

Books

Reinventing Discovery · Nielsen

Science since Babylon · de Solla Price

The Human Use of Human Beings · Wiener

The Nvidia Way · Kim

Born of This Land · Chung Ju-yung

Without a Doubt · Sarna

Read Write Own · Dixon

Entangled Life · Sheldrake

The Overstory · Powers

Playground · Powers

The Brothers Karamazov · Dostoevsky

One Hundred Years of Solitude · García Márquez

Elsewhere

Find me