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Dean Plumbley

Teaching Assistant

Senior Machine Learning Scientist at BenevolentAI

London, United Kingdom

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Dean Plumbley's Email Addresses & Phone Numbers

Dean Plumbley's Work Experience

University of Manchester

Teaching Assistant

September 2013 to Present

Manchester, United Kingdom

University of Manchester

PhD Student (Computer Science, Artificial Intelligence)

September 2011 to Present

University of Manchester

Eprog system developer

October 2013 to September 2014

Dean Plumbley's Education

The University of Manchester

PhD Computer Science

2011 to 2015

University of Leeds

MSc Computational Biology & Bioinformatics

2010 to 2011

University of Liverpool

MRes Biomedical Research

2008 to 2009

About Dean Plumbley's Current Company

University of Manchester

Teaching undergraduate practical classes on processor architecture, ARM assembly Programming

About Dean Plumbley

📖 Summary

Experienced computational scientist, bringing state-of-the-art artificial intelligence and mathematical techniques into large scale data applications. Avid computer programmer, with a passion for matching and designing self learning algorithms for sophisticated and automated problem solving in interdisciplinary science. Skills in OOP for JAVA & C++ particularly strong. Can match the Artificial Intelligence skills with web development, experience in both front end (HTML5 /JS (JQUERY) / CSS3, HTML5 CANVAS) and backend (PHP, .NET, C#, JAVA) using these technologies for dynamic data driven content creation (making machine learning and statistical analysis look pretty!) Projects include using artificial intelligence and machine learning programs to develop new therapies and learn from big data. Using state of the art Deep-Learning techniques to generate advanced models from large scale datasets. Strong interests in artificial intelligence, in particular Deep-Learning techniques, and its application to modern science and big data analysis.Teaching Assistant @ Teaching undergraduate practical classes on processor architecture, ARM assembly Programming From September 2013 to Present (2 years 2 months) Manchester, United KingdomPhD Student (Computer Science, Artificial Intelligence) @ My PhD work included the building state of the art Artificial Intelligence & Machine Learning systems for use in biomedical research sector. These included deep learning (Deep Belief Networks, convolutional neural network & Stacked Autoencoders) for designing new drug molecules for protein based targets. Along with predictive systems for protein function, EEG seizure detection and drug combination optimisation. I have experience in a wide variety of Machine Learning and Search Optimisation techniques. Including but not limited to, Deep Learning, SVM, Genetic Algorithms, Particle Swarm, Bayesian Reasoning, Probabilistic and Statistical Inference. From September 2011 to Present (4 years 2 months) Eprog system developer @ Designing and developing the new eprog (web based postgraduate progress tracker). Writing code in C# & Visual webdesign and UI/UX development. New dynamic code was visually displayed in a HTML5 Canvas and JavaScript animation. From October 2013 to September 2014 (1 year) Msc Student (Computer Science, Molecular Dynamics) @ My masters degree was in computational biology, where I constructed computational algorithms in FORTRAN and C++ to simulate quantum chemistry interactions in small molecules and proteins (Molecular Dynamics, CHARMM & AMBER). These simulations are extremely computationally expensive, which saw my implementing them on large scale distributed data centres and GPU's (NVidia CUDA/ OpenCL). The work found links between the stability of single alpha helix structures in proteins and hydrogen salt bridges. Work was carried out with Dr Emanuele Paci in Leeds University. From 2010 to 2011 (1 year) PhD, Computer Science @ The University of Manchester From 2011 to 2015 MSc, Computational Biology & Bioinformatics @ University of Leeds From 2010 to 2011 MRes, Biomedical Research @ University of Liverpool From 2008 to 2009 BSc(Hons), Physiology @ University of Liverpool From 2005 to 2008 Abbey Gate College Dean Plumbley is skilled in: Machine Learning, Algorithms, Artificial Intelligence, Computational Biology, Computer Science, Bioinformatics, LaTeX, Big Data, Java, Evolutionary Algorithms, Science, Programming, Drug Discovery, Deep Learning, Perl, CUDA, Molecular Dynamics, C++, Parallel Processing, Molecular Biology, Matlab, Mathematical Modeling, Statistical Learning, HTML 5, CSS3, JavaScript, Neurology, Artificial Neural..., C#, Scientific Computing, Statistics, Python, Research, C, Data Analysis, OOP, PHP, Linux, Data Mining, Cell Culture, Image Processing, Biochemistry, SQL, jQuery, Web Development, Software Engineering, Mathematics, Torch, Lua

Dean Plumbley’s Personal Email Address, Business Email, and Phone Number

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Frequently Asked Questions about Dean Plumbley

What company does Dean Plumbley work for?

Dean Plumbley works for University of Manchester

What is Dean Plumbley's role at University of Manchester?

Dean Plumbley is Teaching Assistant

What is Dean Plumbley's personal email address?

Dean Plumbley's personal email address is m****[email protected]

What is Dean Plumbley's business email address?

Dean Plumbley's business email addresses are not available

What is Dean Plumbley's Phone Number?

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What industry does Dean Plumbley work in?

Dean Plumbley works in the Research industry.

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Dean Plumbley's Personality Type

Extraversion (E), Intuition (N), Feeling (F), Judging (J)

Average Tenure

2 year(s), 1 month(s)

Dean Plumbley's Willingness to Change Jobs



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