Éamonn Ó Cearnaigh
Profile
Highly ambitious and deeply passionate Data Science Integrated Masters (MSci) student at City, University of London. Machine Learning, Bioinformatics, and Software Engineering experience. Team player with excellent interpersonal skills but can also thrive working individually. Particularly interested in altruistic projects.
Recent Experience
Trainee Software Engineer, VisualSilicon, London/Cambridge
November 2021 - May 2022
- Completed training in Embedded Systems programming
- Contributed to app-development research and investment meetings
- Worked remotely from London, and occasionally from an office in Cambridge
Bioinformatics Placement Student, The Institute of Cancer Research, London
July 2020 - September 2021
- Programming and assisting Functional Proteomics Team, led by Professor Jyoti Choudhary
- Completing tasks supervised by Dr James Wright, the team Bioinformatician
- Collaborating with academics at Harvard Medical School and the European Bioinformatics Institute
- Expanding the functionality of a proteogenomic mapping tool in Java. Allowing researchers to analyse a vastly greater range of input data with the extended software program
- First author of a research publication detailing the updates made to the software, PoGo/Pepgenome
- Assisting with the building and running of High Performance Computing pipelines processing cell line data
- Through interaction with HPC: Learning Linux, shell scripting, Slurm, NextFlow
- Extensive self-study prior to project covering the basics of Genomics, Transcriptomics, Proteomics and general Molecular Biology as this was my introduction to the field
Machine Learning Intern, PhysiGo, London
May 2020 - July 2020
- Assisting CTO of wearable tech start-up ahead of product launch
- Projects involved evolutionary algorithms, neural networks, and data visualisation, all using Python
Education
Data Science Integrated Master's Degree (MSci with Hons)
City, University of London, UK
2018 - 2023
Yearly Average Grades and Notable Modules
Stage 1 (1st): Discrete Mathematics (90.8%), Intro. to Algorithms (85.1%), Systems Architecture (83.2%)
Stage 2 (1st): C++ Programming (98.3%), Computer Networks (92.0%), Data Structures & Algorithms (91.6%)
Placement (1st): Bioinformatics Project with the Institute of Cancer Research
Stage 3 (1st): Intro to AI (78.0%), Programming & Maths for AI (71.75%)
Stage 4 (Autumn 2022): Computational Cognitive Systems, Neural Computing, Final Project w/ the Institute of Cancer Research
Recent Projects
Facial Emotion Recognition
- Solo Computer Vision University Project
- Designing and deploying pipelines involving support vector machines, multi-layer perceptrons, and convolutional neural networks
- Image classification to identify emotion via images of facial expressions using Python libraries
Neural Networks for Classification
- Team University Project
- Designing and deploying ANNs using NumPy & PyTorch
Airbnb Price Prediction
- Team University Project
- Extensive cleaning of real-world public data
- Analysing the biggest price influences on Airbnb rental prices using Random Forest and Keras Neural Network models
Proteogenomic Mapping
- Bioinformatics Placement Project at ICR
- Expanding the functionality of a proteogenomic Java-based mapping tool, PoGo
- The algorithm analyses peptide, protein, and genome data and processes it in order to map peptides to their genomic origins
Interests
- Science & Tech: Passionate about exploring how things work, and how research and innovation can improve lives
- Travel & Culture: Three backpacking trips in 2018, 2019 and 2022, visiting a total of 22 European cities across 13 countries
- Languages: Intermediate in Irish and French, beginner in Dutch and German
