Edoardo Paluan
A: 247 Uxbridge Road, W12 9DS T: +447721421796 E : [email protected]
ABSTRACT
My interest in science stems from the slow but inevitable removal of the suffix from science-fiction. The emergence of scientific fields previously considered as
being futuristic speaks miles with regards to where science is now. Science has entered the future, its limitations are increasingly defined not by our potential,
but by our creativity, we are no longer left to ask whether something can be done; we are questioning how and whether it should be done.
I seek to unravel the unknown, and in doing so, propel humanity in a future of knowledge, peace and cooperation
A man-dreamt, machine–driven human evolution is emerging, I will be at the forefront of such research defining its course from the very start as with the promise
of AI comes the risks associated with it, and every day we step closer to the singularity, is a day we should ask ourselves: should we?
WORK EXPERIENCE
Machine Learning Graduate Engineer
Working in the Research Data Management Division at Mendeley, I have worked in developing the Product, Business Analysis, and as
a Developer, rapidly picking up on: HTML, CSS, JS, Scala & Python. Throughout my training I am continuously discovering needs for
ML in analysing and extracting information from our datasets.
Most notable achievements
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Implemented a Python script in Pandas (Spyder IDE) which performed a reverse DNS check to identify which websites are performing aggressive
bot behaviour (500 + requests per second). Once identified, these websites were blacklisted in a robot.txt file.
Created a product development plan on Hivebench an Electronic lab book.
Came up with an idea for a passive publication suggestor. Theorised its development and implementation with iPython Notebook.
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ML-specific (Python and R)
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Data Pre-processing
Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
K-Means, Hierarchical Clustering
Association Rule Learning: Apriori, Eclat
Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
Bag-of-words model and algorithms for NLP
Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
Dimensionality Reduction: PCA, LDA, Kernel PCA
Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Cofounder
Shake was born as an idea to monetise Knockabout, thought of as a peer to peer betting platform which I am currently working on,
along with Andrew Spence and Myles Milston CTO of Colossus bets. Here to disrupt the market, I have been primarily responsible for
the market research, the UI/UX design, writing up the business plan and creating the database. I have also created a JS powered
interface for investors whereby they get to see how likely Shake is to make a revenue between a range of values, serving as a very
powerful general-purpose forecasting tool. Currently on our second round of investment.
ML-specific
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Engineered a JS, HTML and CSS page which would allow investors to see the likelihood of them earning between x and y at a specific month
as a %. (~0% being highly unlikely and ~ 100% being almost certain) This gave investors a realistic expectation of profits vs risk.
Implemented the theoretical functioning behind intelligent tag suggestion which will be implemented in phase 3 of the app.
INVESTIGATIONS
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Theorised and proposed the construction of a working prime number recognition machine based on light, and cake slices. In depth research
on the limitations of Turing machines and investigations into non-brute-force algorithms.
Theorised and developed a novel way to generate microstructures via the implementation of vapour-deposition techniques. This happened by
chance as with most discoveries in Science.
Calculated how many motors were needed to rotate a dome weighing half a tonne, with a weighing scale and a thread
Designed a forecasting algorithm in JS to calculate the revenue of a business at a specific month given a set of initial conditions.
ACADEMIA
Master of Science in Physics (MSci)
High First
2012-2016
International Baccalaureate (40/45)
Most interesting modules encountered:
Quantum Physics, Computational Biophysics, Biophysics & Nanotechnology
Mathematical Methods in Physics, Statistical Mechanics, Astrophysics, Nuclear Physics
iGCSE: 7A*, 2A
High Level:
Standard Level:
Physics: 7
French: 7
Chemistry: 7
English: 6
6
Mathematics:
Business: 6
Core points: 1
AWARDS
King’s College Research Experience Award
Gordon Rogers Scholarship Award
Various High School prizes
Rebuilding KCL’s telescope and ongoing
telescope observations by night, I submitted my
entry in the form of a website: LUXEXSTELLIS
Provides £3000 each for the five best third
year MSci students. The scholarship is
awarded on academic merit.
-Robert Fitzgerald Kennedy Journalism scholarship
-Diploma - World Bank Institute (Washington)
-UK Maths Challenge: 2 gold, 1 silver, 1 Bronze
INTERNSHIPS
2013 – Microfluids
Measuring contact angle, surface tension along with surfactant concentration for systems of oil and water solutions
2014 – KCL telescope
Installation of the telescope on the roof of the King’s Building. I aided in the setting-up of the telescope and
preliminary usage. It was a practical role, which included fabricating a motor system to rotate the dome, which was
then connected to a computer.
2015- Coding the path of ‘Quirks’
Recreate the conditions at the MoEDAL particle detector at CERN. Languages used were Fortran, for its speed.
Reproduced a 3d environment in code, modelled particle collisions, extensive use of nested If statements, use of
arrays, proved Wikipedia wrong, and used smart approximation methods to decrease computational time of
simulations by a factor of ten.
2015- Superconduction
Working at University College London on the discovery of a potential way to make graphene superconducting and investigated
the structural properties of different types of clay
OTHER
Trilingual: English, French and Italian
Website Designer
Entreprenuer
Keen Sailor
Art Promoter
Part time poet + writer
Professional Tutor
Black Belt Judoka
Reporter