Bio

I'm a PhD candidate in the Molecular Engineering group at the University of Cambridge. I write software and research machine learning methods to facilitate the discovery and characterisation of materials with applications to small-angle scattering. This includes: developing machine learning-assisted small-angle scattering pipelines. creating generative models for inorganic crystal structures, as well as structure-property models to predict their properties. developing segmentation methods to detect, locate and quantify systems of particles from electron microscopy (EM) images.

Publications

	Calculating Small-Angle Scattering Intensity Functions from Electron Micrsocopy Images Batuhan Yildirim, Adam Washington, James Doutch and Jacqueline M. Cole RSC Adv. (2022) [paper] [code]
	Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification Batuhan Yildirim and Jacqueline M. Cole J. Chem. Inf. Model. (2021) [paper] [code] [demo]
	3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning Callum J. Court*, Batuhan Yildirim*, Apoorv Jain and Jacqueline M. Cole J. Chem. Inf. Model. (2020) *Equal Contribution [paper] [code]
	ImageDataExtractor: A Tool To Extract and Quantify Data from Microscopy Images Karim T. Mukaddem, Edward J. Beard, Batuhan Yildirim, and Jacqueline M. Cole J. Chem. Inf. Model. (2019) [paper] [code] [site]

If you'd like to read any of my publications but can't get past the paywalls, feel free to email me and I'll send you a copy.

Posts

Spectral Graph Convolutions - Fourier Transforms (on Graphs) for the Birdwatcher

Open Source Software

	imagedataextractor 2.0 a Python library for nanoparticle electron microscopy image quantification. [site] [Github]
	rdfpy a Python library for fast computation of 2D and 3D radial distribution functions. [Github]
	Contributions Open source projects that I have contributed to include TorchEnsemble and ChemDataExtractor.

Data

Electron Microscopy Particle Segmentation (EMPS) Dataset a diverse collection of 465 electron micrographs and their corresponding particle instance segmentation maps. [download] [Github]

Fun

	Numerai I compete on Numerai, a data science tournament where I submit predictions weekly and regularly finish in the top 15% and top 5%. Links to some of my best performing models can be found below. [numer.ai/by32]
	Generative Art I enjoy creating generative art which exploits randomness, motion and colour to produce diverse sets of examples. I have sold many of my pieces and have created a Twitter bot that randomly generates and posts every 6 hours.

Contact: