Gregor Neumayr

Key Focus: • Provide specialist RDTI and R&D funding advisory services to New Zealand businesses • Deliver independent eligibility assessments, technical narrative development, and RFI support • Design and facilitate workshops with engineering and product teams to document qualifying R&D activities • Support accountants and R&D advisory firms with complex or technically challenging claims

Key Achievements: • Assessed 1000+ R&D Tax Incentive applications for eligibility against the Income Tax Act 2007, providing technical recommendations to Inland Revenue • Co-authored the official Digital Technology Sector guidelines with IRD, MBIE and Callaghan Innovation • Conducted in-depth discussions with hundreds of businesses to strengthen their applications • Collaborated across Callaghan Innovation, Inland Revenue (IRD) and MBIE on cross-agency alignment, refining assessment methodologies and guidance materials • Assessed applications for the New to R&D Grant and, to a lesser degree, other Callaghan Innovation funding programmes, gaining broader experience across the R&D funding ecosystem and strengthening relationships with key stakeholders

Key Achievements: • Led advanced data science, AI, machine learning, and Web3 research initiatives at Callaghan Innovation • Guided multidisciplinary teams in data analysis, algorithm development, and deployment of data-driven solutions • Designed and delivered machine learning training and consulting engagements for industry clients • Supervised subcontractors and contributed technical reports across multiple innovation projects

Key Achievements: • Led the data science and algorithm development for the stroke patient rehabilitation gaming device project

A fun digital art NFT project on the Cardano blockchain

Performed data science consulting duties in the manufacturing domain. Designed and facilitated an in-person workshop with supplementary coaching. Delivered a workshop on machine learning. Conducted the workshop that lasted for two-hour sessions over a period of three days. Key Achievements: • Workshop received a high rating from the 20 engineers and scientists in attendance.

Consulted on establishing the oversight and planning for new product development. Accelerometer and pressure data were collected and analysed. Developed required models apart from performing duties as the project manager. Managed relations with the customer

Led project whose objective involved the acceleration towards digital data space. Integrated external expertise so as to create the information communication and technology prototype. Key Achievements: • Delivered data engineering services successfully

Lead team to develop predictive maintenance algorithm for the cost -efficient ordering of printer supplies. Analysed data from printer usage and maintenance. Model adopted artificial intelligence apart from technologies such as Deep Learning, Keras and Tensor Flow.

Developed an algorithm and the necessary framework for a rule-based artificial intelligence model. Managed customer relationships. Hired subcontractors to build the prototype. Delivered prototype and associated reports.

Developed an algorithm so as to optimise PCR primer design through the use of next generation sequencing, RNA coverage data and genomics. Helped secure funds for projects. Technical responsibilities included the analysis of massive datasets including bioinformatics data by means of a C/C++ reader.

Served as a senior data scientist apart from managing the direction of the project to develop a cancer diagnostic algorithm. Managed team that explored alternative data analysis strategies. Represented fellow data scientists in a role that required consistent communication with the customer. Key Achievements • analytics approach got a patent application.