Lecturer (Assistant Professor) at the University of Bristol’s EEME
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Assessing your cultural and operational fit
l1-jet-id-jedinet
November 16, 2025 – Present
This is the Jedinet implementation for paper https://arxiv.org/abs/2402.01876
View Projectl1-jet-id
June 22, 2023 – May 1, 2025
Training, testing and synthetisation for FPGA of three machine learning models: MLP, deepsets, and interaction networks with application to HL-LHC jet tagging.
View ProjectGNN-JEDInet-FPGA
June 24, 2022 – October 4, 2022
An template for GNN-based JEDI-net using Vivado HLS
View Projectknow_dist
May 6, 2022 – September 11, 2023
Different models using knowledge distillation applied to HEP data.
View ProjectTransformer_Neural_Network_HLS
November 9, 2021 – June 22, 2022
Transformer_Neural_Network_HLS — GitHub repository
View ProjectRNN_HLS
March 20, 2021 – May 4, 2024
An LSTM template and a few examples using Vivado HLS
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic/research-oriented machine learning, particularly in hardware acceleration for physics applications. While this demonstrates deep technical expertise, the diversity of projects outside this niche is limited. The alignment with a general 'Data Scientist' role might require further validation of broader data science skills beyond specialized ML model development and FPGA synthesis. The lack of team projects or professional experience makes it difficult to assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.