Milan is currently a partner at McKinsey's office in Melbourne leading data science for heavy industry across the globe. Milan has a deep expertise in data science and chemical engineering with 20 years of experience in the process industries with emphasis on predictive maintenance, automation, process optimisation and process control. He is also an Adjunct Professor at the Faculty of computer science at the University of Sydney (Centre for advanced data science) and a co-director of PhD students at Ecole Polytechnique De Montreal. Milan received his PhD from the department of chemical engineering at Ecole Polytechnique with his thesis focusing on developing innovative technologies and methods that assist industries with transforming their data into actionable insights and deep operational intelligence. He also holds MSc and Bc in chemical engineering (data-driven modelling) from the University of Technology in Bratislava (Slovakia). Prior to joining McKinsey, Milan was a head of development and implementation of automation systems combining state-of-the-art process control technologies with advanced analytics.Specialities:* orchestrating large scale transformation programs; developing and delivering machine learning systems; data science and data engineering, IoT, industrial and cloud based data architecture, process control (APC+), process optimisation, automation of industrial processes, supply chain and planning
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PartnerMckinsey & CompanyMelbourne, Vic, Au -
PartnerQuantumblack, Ai By Mckinsey Jan 2020 - PresentGlobal, Gb -
Head Of Data Science Guild (Asia)Quantumblack, Ai By Mckinsey Jan 2017 - PresentGlobal, GbAs an innovative and entrepreneurial data science expert I led development of machine learning tools and approaches for QB. My passion is to make the world a better place by continuously innovating the way our clients (and we!) work, through embracing cutting-edge data science and artificial intelligence in heavy industrial applications -
PartnerMckinsey & Company Jun 2015 - PresentUs -
Adjunct Professor, Data Science And Machine LearningCentre For Translational Data Science Nov 2018 - PresentCo-led winning of ARC grant application for University of Sydney and the Centre for translational data science.Co-director of 5 PhD students in Bayesian inference and machine learning
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Co DirectorPolytechnique Montréal Dec 2018 - PresentMontréal, Québec, CaCo director of PhD students’ research and development at the NSERC chair on process integration. -
Principal Data ScientistMetso Oct 2013 - Jun 2015Espoo, Uusimaa, FiLead data scientist delivering novel analytics and automation technologies for multiple types of process industries. -
Consultant, Data Science, Process Integration & EconomicsKsh Solutions Inc Oct 2012 - Dec 2013Montréal, Québec, CaWide range of client engagements with focus on advanced analytics, process optimisation, market research and forest bio-refinery technologies & strategies. -
Data Scientist And Process EngineerPapier Masson Ltee May 2007 - Dec 2012Industrial Research and Development at a p&p production side - Development of advanced analytics models to improve production processes - Daily process optimization activities (assisting principal engineers) - Sensor network design for optimal process data reconciliation routines - Understanding cost accounting strategies and financial analysis - Developing data analytics strategies - Asset management - identifying biased measurements, unit-process troubleshooting, etc - Production cost assessment for various products, feed-stocks and operating strategies driven by real-time process and cost data, - Performance analysis for facility's continuous improvements, - Financial assessment of various bio-refinery strategies. -
Postdoctoral Fellowship - Process Integration & Advanced AnalyticsÉcole Polytechnique De Montréal Jan 2012 - Oct 2012Montréal, Québec, Ca- Technology transfer to industry (advanced analytics and big data solutions)- Mentoring graduate students- Grant proposals developments- Incorporating scenario analysis and uncertainty into MCDM (multi-criteria decision makings) -
Consultant And Project EngineerEnvertis Inc. Oct 2011 - Oct 2012Montreal, Quebec, CaConsulting activities focused on feasibility studies, technology and business risk assessment, business transformation, market studies, data analytics and valuation for partnerships, merger & acquisition or join venture.- Project: A Market Study on Biorefinery Technology in Kraft mill Led a market competitive assessment for development of business strategies of hemicellulosic derivative products. Identified strategic partners has provided sustainable future of given pulp and paper facility and its region (2012). -
Data Scientist / EngineerAurel Systems Inc. Jul 2009 - Aug 2010Burnaby, Bc, CaData scientist for industrial simulation software - industrial research and development internship- Development of dynamic data reconciliation and process optimization models,- Implementation of variability assessment analytics (harmonics using wavelet data processing technique) into process simulation software. -
Senior Data Scientist & Developer: Machine Learning And Advanced Data AnalyticsBusiness Modeling Mar 2005 - Apr 2007Leading research and development of advanced analytics applications for business modelling product. The main responsibilities were to develop and manage end to end advanced analytics products / applications (auto generation of deep insights via data mining and machine learning).
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Graduate Researcher - Numerical Model DevelopmentÉcole Polytechnique De Montréal Apr 2003 - Dec 2004Montréal, Québec, CaI was responsible for a data driven development of numerical model (finite element) to assess transport phenomena in a novel biodrying industrial unit operation designed for wastewater sludge drying.Based on the numerical modeling, we have developed a cost effective design of a laboratory scale biodrying reactor that was later used for further testing and studies for scaling-up to industrial level. -
Lead Digital Expert And Technology Manager3 Plus S.R.O. May 2000 - May 2003A start up company where my responsibility widely ranged from being digital specialist and data scientist to technical consultant:- Development of IT and data architecture - Building descriptive and predictive analytics models for deep market insights - Technical consulting for customers in various industries (pulp & paper, food industry)- Business development and new markets exploration- Direct, coordinate, and review tasks and activities in sales and in receiving and shipping operations.
Milan Korbel Education Details
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Polytechnique MontréalChemical Engineering -
Polytechnique MontréalChemical Engineering -
Slovenská Technická Univerzita V BratislaveChemical Engineering -
Slovenská Technická Univerzita V BratislaveChemical Engineering
Frequently Asked Questions about Milan Korbel
What company does Milan Korbel work for?
Milan Korbel works for Mckinsey & Company
What is Milan Korbel's role at the current company?
Milan Korbel's current role is Partner.
What schools did Milan Korbel attend?
Milan Korbel attended Polytechnique Montréal, Polytechnique Montréal, Slovenská Technická Univerzita V Bratislave, Slovenská Technická Univerzita V Bratislave.
Who are Milan Korbel's colleagues?
Milan Korbel's colleagues are Chris Jenrette, Pierre Lestruhaut, Peter Park, Stephen Foster, Noah Welgoss, Thomas Meyer, Tim Hauser.
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