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 characterization and generation of atomic and nano structures.

Publications

	Multi-task Scattering-Model Classification and Parameter Regression of Nanostructures from Small-Angle Scattering Data Batuhan Yildirim, James Doutch and Jacqueline M. Cole ACS Nano (2022). Submitted.
	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

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. I previously ranked in the top 0.1% and frequently rank in the top 10%. My best performing model currently is by256_ex_plus.
	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.