WELCOME TO MATH LABS

Applied Enterprise Artificial Intelligence

Math Labs is a premier, 'Enterprise'​ Artificial Intelligence lab, focussed on rapidly assembling a world class team of exceptional scientists from across mathematical disciplines. Established in and operating out of London, United Kingdom - the firm undertakes fundamental algorithmic research within enterprise Artificial Intelligence.

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Our mission is to help accelerate an organization's journey towards becoming  'AI-Optimal' - starting with significantly enhancing its abilities in leveraging  AI & machine intelligence to outperform traditional competition.

Math Labs combines its strong research focus - developing and optimising a continually expanding portfolio of 'mathematical components' , with its proprietary  'Enhanced AI' project-design approach built of several  industry-first principles that materially increase the probability of AI success.

POWERING ORGANIZATIONS WITH 
'ENHANCED AI'

LAUNCHING A NEW AI POWERED DATA MONETIZATION BUSINESS

Building an AI asset that connects online usage patterns with consumption of content, helping our Client enhance and monetize content consumption patterns.
Uses a cluster of Machine Learning led and model-free methods to build out the algorithm pathway.
30%+ Improvement in predictive power
$15m+ New Business Impact

PERSONALIZATION FOR A TOP TIER HEALTHCARE OPERATOR

Building of a robust advanced analytics engine to help our client create actionable insights on a series of personalization levers that potentially impacted the delivery quality to their target patient cohort

AUTO FEATURE ENGINEERING FOR ANOMALY ANALYSIS

Discovering optimal feature transformations customized to Supervised Anomaly analysis, i.e. discovery of the specific set of physical behaviours for  each raw input in a data table to best mimic distribution of the response variable.

ANOMALY ANALYSIS

Understanding ‘anomalous patterns’ represents a significant area of interest to Math Labs, given the range of use-cases it represents.

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At our lab, we look at anomalies such as 'financial fraud', 'machine failure' through the lens of 'evolution', away from the more common approach of considering these a single step phenomenon - requiring us to unify singular approaches from across mathematical fields, rather than limiting ourselves to traditional AI.

AUTO DATA SPACE OPTIMIZATION

Math Labs leverages multi-disciplinary approaches to transform data to its highly optimized version (technically - to a more optimal subspace), which 'significantly amplifies' the power of machine learning models applied on it.

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This does away with the painfully manual & ad-hoc process of decisions that determine what final data enters a clustering / supervised learning model   -   not only optimizing the pre-model 'data science expert' stage, but also enhancing the efficiency of a typical data science life-cycle by over 50%

SUPERVISED FEATURE EXTRACTION FROM TEXTUAL DATA

Extraction of  an optimal, hidden 'concepts-space' from text - that maximizes the ability to explain a response variable - could expand the usage of experts/analysts' opinions and even  world / social media data in enterprise supervised learning.

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Math Labs is working to bring about a robust, trust-able methodology to this exciting area, by approaching this as a manifold optimization problem - that requires combining natural language processing with, algebraic-mathematics and statistics.  

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OUR KEY PARTNERS

Collaborative Efforts

A prominent NHS England Foundation trust - owning and responsible for public health & social care services for several critical  sections of UK's population.

FutureLabs is a distinctive tech VC & VentureBuilder established by former Partners of McKinsey Ventures.

The firm focuses on identifying best-of-breed B2B big data, cybersecurity & AI start-ups and scale them into regional and global leaders.

Hitachi Consulting - a business consulting & technology major, with a significant  expertise in IT and IOT - co-creates with client organisations around the world to accelerate their digital transformation and respond to dynamic global change. 

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Math Labs is working with Hitachi consulting in delivering  AI / Computational mathematics expertise and services to the latter's marquee global clients. 

FinMechanics provides software solutions and services to global Investment Banks, Regional and Commercial Banks, Asset Managers, Central Banks, Foreign Exchange services, Precious Metal dealers and Corporate Treasuries.

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MARIJA RUŠČIĆ, PHD

Lead AI Scientist

Marija – a Geo-Physics PhD - specializes in predictions related to extreme ‘events’ and brings her considerable knowledge in Seismology and geo-physics into building tools for complex 'Anomaly' related problems

RUDOLF KOHULAK, PHD

Lead AI Scientist

Rudolf – an applied mathematics PhD – leverages his strengths in computational geometry to bring a range of unique perspectives in adding new capabilities to 'traditional' AI.

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Member of a Chalkdust magazine editorial team. Author and co-author of several popular science articles. Recreational Rubik’s cube solver.

THEERAWAT BHUDISAKSANG, PHD CANDIDATE

AI Research Scientist

Theerawat, pursuing a Doctorate in Financial Mathematics at Oxford, specialises in stochastic control and its application to financial, statistical inference in a diffusion process, Ergodic theory, and stochastic analysis.

He is a keen competitive-mathematician with several successes in the International Math Olympiads.

MERCEDEH REZAEI, PHD CANDIDATE

AI Research Scientist

Mercedeh, pursuing her Doctorate in Machine Learning & AI - brings to client situations additionally a strong background in computer science & network security.

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Interested in speed reading, nature, motivational speakers.

MANESH HALAI

Associate AI Scientist

Manesh holds a degree in Physics and a masters in Analytical Chemistry. His strengths lie in mathematics and conducting data analysis, including the analysis of signatures via mass spectra to identify key patterns and anomalies. 

He is a keen gamer, an avid sports fan and recreational lacrosse player.

RYAN  SINGH

Associate AI Scientist 

Ryan holds a Master in Mathematics from Oxford University. A keen mathematician, his focus has primarily been on graph theory and discrete algebra, alongside probability and statistics. 

His non-mathematical pursuits include among others learning languages, rock climbing, as well as the occasional cryptic crossword.

GEORGIA PETROULEA

Associate AI Scientist

Georgia holds a degree in Physics and a masters in Astrophysics. Her strengths lie in conducting data analysis and using numerical methods incl. Monte-Carlo simulations to predict natural physical phenomena - such as Geomagnetic storms on Earth. 

She is passionate about teaching and has been helping undergraduate students solve complex Quantum and Modern physics problems since completing her degree.

She is interested in recreational cooking and cycling

PETER KENNY, PHD

AI Research Scientist

Peter, currently completing his PhD in Statistical Science at UCL, is primarily interested in applied statistics and machine learning. His  undergraduate degree was in Physics.

Peter's PhD is on the analysis of X-ray signatures, using linear un-mixing and supervised learning methods on high dimensional data sets for material detection and quantification.

Outside of work he plays and follows football and likes to cycle.

JACK SKIPPER, PHD

AI Research Scientist

Jack, with a PhD in mathematics studying fluid dynamics, is an experienced mathematician, interested in modelling physical systems and understanding their evolution.

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His PostDoc experience consists of leading several research projects in regularity theory, calculus of variations and convex integration theory as well as undertaking graduate teaching and advising.

A sports enthusiast who enjoys sailing, ultimate frisbee and boardgames. 

ASHWANI ROY

Practice Head - Financial Services

Ashwani, an Ex Microsoft Programmer, has spent over 10 years developing enterprise risk, derivatives trading and e-commerce Systems, and over 5 years - as a Director with Citigroup London - helping institutional clients manage Market and Credit risk via structuring quantitative hedging and financing solutions.

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An avid cricketer, golfer and a car racing enthusiast.

EREZ RAANAN

Co-Founder

Global leader of Analytics Ventures with McKinsey & Co., and an experienced Analytics Transformation Officer working with top tier enterprises to deliver Data and Analytics programmes . 10+ years’ building and scaling technology product companies

PRODIPTO GHOSH

Chief Scientist

Prodipto has been a Lead AI Scientist with McKinsey & Co. in their London office, working on developing & optimising AI algorithmic pathways & toolkits for interesting, non-standard enterprise problems, across verticals. A practitioner with 10+ years in computational mathematics.

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He is a recreational badminton player and trekker.

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CONTACT US