Dr. Andrei Roibu

- Unlocked 100x performance gains with optimized AI, LLM, and DSP algorithms; - Accelerated product development by co-developing an embedded emulation AI benchmarking pipeline; - Spearheaded business development initiatives, sourcing and managing 60+ leads; - Translated critical feedback from key client engagements into actionable engineering features; - Delivering talks at international conferences; - Mentored and developed junior engineers; - Created client-focused technical documentation;

- Discovered 191 statistically significant factors and 57 new biomarkers in brain aging with novel multimodal AI techniques and 3D neuroimaging datasets. - Engineered novel data-fusion algorithms, LLM-based vision language models, and end-to-end data pipelines, focusing on interpretability; - Advanced diagnostic capabilities with deep learning models that translate between structural and functional MRI. - Partnered with Roche Pharma's R&D teams to demonstrate the commercial potential of the research.

- Directed a management consulting project for a local insurance broker, leading a team of five consultants to develop and deliver a new customer segmentation and go-to-market strategy that the client immediately adopted.

- Spearheaded the integration and optimization of a deep learning model for an open-source MRI software, delivering a 12% increase in Alzheimer's imaging segmentation accuracy and reducing analysis time by 90%.

- Pioneered an investigation into neuromorphic AI, validating the feasibility of training reinforcement learning agents with a biologically plausible algorithm (direct feedback alignment) and producing a comprehensive performance analysis that benchmarked the trade-offs between biological plausibility and raw task performance.

- Led the team delivering a review of hydrogen fuel safety practices at the Siemens LCCC facility, proposing redesigned systems and processes facilitating capabilities expansion.

- Drove the strategic case for entering the regional and eVTOL hybrid-electric aviation market, delivering agent-based models and simulations that lead to the establishment of two new business lines worth over $840M annually. - Advised the Group CTO and senior leadership on long-term technology strategy, translating horizon scanning into business insights. - Provided critical analysis for internal consultancy projects across diverse sectors, including Small Modular Reactors (SMR), robotics, and VR/AR.

- Pioneered a PoC 3D defect detection algorithm that accelerated critical inspection processes by 50%, serving as a key enabler for launching a new business unit focused on inspection automation.

- Thesis: Quantifying Brain Ageing using Deep Learning and Large Neuroimaging and Biomedical Datasets - Key Awards: 1851 Royal Commission Industrial Fellowship (one of 13 recipients nationwide), UKRI & EPSRC Full Studentship, named a "Leader of Tomorrow" by Gap Summit. - Key Publication: Presented findings at the 2023 IEEE Swiss Conference on Data Science (SDS).

- Relevant Coursework & Thesis: Master's thesis focused on developing Deep Reinforcement Learning agents for games, complementing a rigorous aerospace engineering curriculum. - Key Awards: Mappin Medal and Premium and the Sir Harold West Award for academic excellence. - Leadership: Founded and led "Project Phoenix," the university's largest student-led engineering project, securing £25k in sponsorships to construct a full-scale aircraft.

- Object of study: Mathematics and Computer Science - Multiple-time medalist at the Romanian National Physics Olympiad.