Lasse Hjuler Christiansen Email & Phone Number
Who is Lasse Hjuler Christiansen? Overview
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Lasse Hjuler Christiansen is listed as Head of Team, AI and Machine Learning at TICRA, Ph.D. at TICRA, a with 33 employees, based in Copenhagen, Capital Region of Denmark, Denmark. AeroLeads shows a matched LinkedIn profile for Lasse Hjuler Christiansen.
Lasse Hjuler Christiansen previously worked as Head of Team, AI and Machine Learning at Ticra and Senior Machine Learning Engineer at Ticra. Lasse Hjuler Christiansen holds Master Of Science (M.Sc.), Mathematical Modelling And Computation (Honours Programme), Gpa: 11.6/12 from Danmarks Tekniske Universitet.
Email format at TICRA
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About Lasse Hjuler Christiansen
Ph.D. in applied mathematics and computer science with an analytic mindset, a structured approach to problem-solving and strong communication skills. I have a broad mathematical foundation and a solid knowledge of various areas of computer science that include discretization and numerical solution of partial differential equations, optimization, data-fitting and machine learning.As my core competency, I combine my mathematical knowledge and strong programming skills to maintain, modify and develop new software solutions that are customized to meet specific client needs and requirements.
Listed skills include Mathematical Software Development, Matlab, Python, C++, and 16 others.
Lasse Hjuler Christiansen's current company
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Lasse Hjuler Christiansen work experience
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Senior Machine Learning Engineer
Senior Software Engineer
As senior software engineer in ABOR, I worked as part of an agile scrum team, building FinTech solutions that support SimCorp clients to always be up-to-date with the latest requirements for financial reporting, instrument pricing and comply with the newest regulations and accounting standards. As a senior software engineer, my main responsibilities included:• Implementing high-quality FinTech solutions by involvement in all development activities ranging from refinement of business requirements, architectural design, implementation, technical documentation to customer support.• Collaborating with clients and product owners to align on acceptance criteriaand create testable user stories.• Creating, improving and maintaining automated tests, supporting continuous integration and fast feedback on new development.• Coaching and helping colleagues to secure the team’s commitments as well as product quality and code architecture.• Leading machine learning initiatives aiming to improve and automate internal workflows.
Software Engineer
Ph.D. In Applied Mathematics And Computer Science
In my PhD project "Optimal control of PDE-constrained systems", I worked on problems related to mathematical optimization, where I specialized in analysis, design and implementation of numerical algorithms that form the computational foundation of model-based and data-driven decision-making tools such as optimization-based risk management, machine learning, optimal control and cyber-physical systems. In addition to a strong academic profile, my work as a PhD candidate has given me • Solid programming skills in MATLAB, Python and C++.• Experience with mathematical tools for simulation, optimization, statistical analysis, data handling and visualization including pandas, scikit-learn and R.• Experience with developing algorithms for large-scale applications by combining elements of high-performance computing with iterative solution strategies.• Strong communication skills based on teaching classes and numerous oral/poster presentations at international conferences and seminars.
Teaching Assistant
During my M.Sc. and B.Sc. studies I worked as a teaching assistant in various courses on mathematics and computer science ranging from introductory courses to advanced classes on theoretical mathematics. My main responsibilities were to guide students through course exercises and grade assignments. My work has giving me a strong sense of how to• Prepare and organize material to convey key messages to a target audience.• Disseminate advanced concepts through listening, dialog and well-constructed examples.
Colleagues at TICRA
Other employees you can reach at ticra.com. View company contacts for 33 employees →
Anders Eltved
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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Toke Henriksen
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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Peter Demeyer
Colleague at TicraKlippan, Skåne County, Sweden
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Raluca Gabriela Popescu
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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PM
Piotr Majewski
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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Sabine Fie Hansen
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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Asger Limkilde
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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KR
Kristian Rhindal Møllmann
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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Michael Forum Palvig
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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MW
Mark Whale
Colleague at TicraCopenhagen, Capital Region Of Denmark, Denmark
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Lasse Hjuler Christiansen education
Master Of Science (M.Sc.), Mathematical Modelling And Computation (Honours Programme), Gpa: 11.6/12
Bachelor Of Science (B.Sc.), Mathematics And Technology, Gpa: 10.7/12
High School Diploma
Frequently asked questions about Lasse Hjuler Christiansen
Quick answers generated from the profile data available on this page.
What company does Lasse Hjuler Christiansen work for?
Lasse Hjuler Christiansen works for TICRA.
What is Lasse Hjuler Christiansen's role at TICRA?
Lasse Hjuler Christiansen is listed as Head of Team, AI and Machine Learning at TICRA, Ph.D. at TICRA.
Where is Lasse Hjuler Christiansen based?
Lasse Hjuler Christiansen is based in Copenhagen, Capital Region of Denmark, Denmark while working with TICRA.
What companies has Lasse Hjuler Christiansen worked for?
Lasse Hjuler Christiansen has worked for Ticra, Simcorp, Dtu - Technical University Of Denmark, and Technical University Of Denmark.
Who are Lasse Hjuler Christiansen's colleagues at TICRA?
Lasse Hjuler Christiansen's colleagues at TICRA include Anders Eltved, Toke Henriksen, Peter Demeyer, Raluca Gabriela Popescu, and Piotr Majewski.
How can I contact Lasse Hjuler Christiansen?
You can use AeroLeads to view verified contact signals for Lasse Hjuler Christiansen at TICRA, including work email, phone, and LinkedIn data when available.
What schools did Lasse Hjuler Christiansen attend?
Lasse Hjuler Christiansen holds Master Of Science (M.Sc.), Mathematical Modelling And Computation (Honours Programme), Gpa: 11.6/12 from Danmarks Tekniske Universitet.
What skills is Lasse Hjuler Christiansen known for?
Lasse Hjuler Christiansen is listed with skills including Mathematical Software Development, Matlab, Python, C++, C, Maple, Latex, and High Performance Computing.
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