Dr Tom Hanna
Dr Tom Hanna is the director of Hypercube Scientific. A physicist by training, he has worked in industry since 2011 and is recognised as an expert in supply chain simulation, advanced analytics and data-driven decision support. He has given several invited talks at industry events and regularly hosts interns as part of his passion for building links between industry and academia. Tom completed a DPhil at Oxford University in 2008 as a John Monash scholar and was a postdoctoral fellow at the Joint Quantum Institute (NIST and the University of Maryland) before returning to Australia. He has published 12 peer reviewed journal articles and 2 book chapters.
Tom started Hypercube Scientific Consulting as a vehicle for his passion for turning scientific analysis into business value. Before Hypercube, he held technical leadership roles at Suncorp Group and Fortescue Metals Group.
D.Phil. (Oxon) 2008
BSc (Hons) ANU, 2003
BSc (Advanced) USyd, 2002
Dr Annika Kramer
A high-performing simulation specialist and data analyst with a PhD in Computer Science and over 10 years' commercial experience in the mining and automotive industry as manager, team leader and software developer. Enthusiastic about helping others by finding solutions for challenging problems. Self-driven, high attention to detail and good communication skills. Thrives as part of a multi-disciplinary, multi-cultural team promoting a positive and inclusive team culture and can be relied upon to deliver excellence in autonomy.
BSc (Computer Science) (Hons)
PhD (Computer Science)
Dr Andrew Wood
An experienced experimentalist, simulation modeller and scientific consultant, Andrew has recently completed his PhD in experimental quantum optics. In his time at Hypercube Scientific Andrew has been central to the understanding and development of supply chain optimisation models, building simulation analysis tools and ongoing management of simulation models and tools.
MSc (Quantum Optics)
PhD (Quantum Optics)
Dr Akila Seneviratne
Simulation and Optimisation Specialist
Akila completed her PhD in sparse statistical signal processing at the University of New South Wales. Since 2016 she has been involved in machine learning/data analysis roles in medical research. She has the ability to quickly understand and formulate underlying algorithmic problems, research, rapidly prototype and implement solutions. Akila is enthusiastic about applying her knowledge and experience to real-world problems and provide data driven/actionable solutions to clients.
BSc (Electrical and Electronic Engineering) (Hons)
PhD. (Electrical and Electronic Engineering)
Dr Karsten Lehmann
Senior Optimisation and Algorithm Specialist
A mathematician with a talent for algorithms and logic, a passion for programming and 6 years of experience with industry problems. Karsten has a proven record in creating value by exploring and researching impactful optimisation, data science and algorithmic challenges as either solo developer, technical support, teammate and project lead.
BSc (Mathematics / Computer Science)
MSc (Mathematics / Computer Science)
PhD (Artificial Intelligence)
Senior Analyst and Business Development
Zsofia Dobos graduated from the University of Oxford with a Master’s Degree in Water Science, Policy and Management. She has worked in hydrology and engineering in the UK, US, and Australia. Zsofi brings her creative problem-solving skills to the Hypercube Team, and looks after business development.
MSc University of Oxford
BSc University of Pecs
Dr Xinglong Lu
Xinglong is a control engineer and data scientist with a PhD in control theory. He has extensive experience in system modelling, control design, mathematical optimisation, and machine learning. He is passionate about implementing state-of-the-art techniques from the fields of mathematics, statistics, control theory, operations research, and software development to help businesses identify opportunities to increase efficiency and robustness of their supply chains.
MSc (Control Engineering)
PhD (Control Theory and Control Engineering)
Ryan completed his B.Sc. & M.Sc. at the University of Melbourne studying quantum physics, applied to the emerging technologies of quantum computing and communication. With a broad background in quantum algorithms, numerical simulations, machine learning & AI, and data visualisation, Ryan has developed these skills over various projects as a physicist, software developer & automation engineer and as an assurance analyst. With a passion for developing robust models that can provide analytical insights to real-world problems, Ryan sits on the development team to bring this expertise to our client’s diverse applications and needs.
PhD candidate (2020 - )
BSC (Chem Phys) & MSc (Phys)
Tony is a software developer with a passion for data science and web development. He is self-driven to solve difficult problems and deliver code and solutions that are well written, concise and perform well. Tony's interdisciplinary background in finance and pharmacy make him the perfect fit for our team of scientists.