Founded with a mission to provide globally strategic management services for AI & Data Science challenges, with a focus on transferable skills:Communication- Listening- Articulating- Empathy- Feedback Interpersonal- Client facing- Team work- Stakeholder management- Relationship building Leadership- Growth mindset- Develop others- Judgement and accountability- ResilienceAnalytical- Problem solving- Commercial… Show more Founded with a mission to provide globally strategic management services for AI & Data Science challenges, with a focus on transferable skills:Communication- Listening- Articulating- Empathy- Feedback Interpersonal- Client facing- Team work- Stakeholder management- Relationship building Leadership- Growth mindset- Develop others- Judgement and accountability- ResilienceAnalytical- Problem solving- Commercial insight- Data mining and analysis- Diagnostics Show less

Responsibilities and DutiesLegally responsible for running the business: deciding strategy, capital structure, risk, and ensuring information (records, accounts, and performance) is accurately and faithfully reported.Including the company’s:· confirmation statement· annual accounts· officers· registered office· allocation of shares· registration of chargesDuty bound with respect to:The company’s constitutionPowers granted and the purpose… Show more Responsibilities and DutiesLegally responsible for running the business: deciding strategy, capital structure, risk, and ensuring information (records, accounts, and performance) is accurately and faithfully reported.Including the company’s:· confirmation statement· annual accounts· officers· registered office· allocation of shares· registration of chargesDuty bound with respect to:The company’s constitutionPowers granted and the purpose. Adherence to the articles of association.Promoting successAct in the company’s best interests to promote its success by considering the:· consequences of decisions, short/long-term· interests of employees· need to support business relationships with suppliers, customers, and stakeholders· impact of operations on the community and environment· reputation for high standards of business conduct· need to act fairly to all members of the companyIndependent judgementObjectively safeguard the powers and interests of the company while continuously seeking the best available information, consultancy, advise, in order to make optimal final decisions.Exercise reasonable care, skill, and diligencePerform to the best of my ability, achieving the highest standards consistent with my relevant knowledge, skill, and experience.Avoid conflicts of interestAvoid scenarios where interests or loyalties become misaligned with the company. Declaring any possible conflict of interest and following the process set out in the articles of association.Third party benefitsAcceptance of benefits, reasonable corporate hospitality, if it’s clear there’s no conflict of interest. Not accepting of benefits, unreasonable excessive donations/gifts/rewards/etc. from a third party that could create a conflict of interest.Interests in a transactionDeclaration to other directors and members with respect to potential personal benefit from a transaction, such as a contract with a business owned by a member of your family. Show less

Charged with expanding project management capabilities to take on more complex and novel projects, as well as enhancing execution of the typical projects of the business, driving growth via bottom line efficiency.Responsibilities: connecting the dots between strategic goals and project goals, filling in context gaps within projects shaping implementation, considering politics and negotiations within projects, building teams and incentive structures necessary to execute, leading teams of… Show more Charged with expanding project management capabilities to take on more complex and novel projects, as well as enhancing execution of the typical projects of the business, driving growth via bottom line efficiency.Responsibilities: connecting the dots between strategic goals and project goals, filling in context gaps within projects shaping implementation, considering politics and negotiations within projects, building teams and incentive structures necessary to execute, leading teams of data scientists, defining/prioritizing/allocating resource requirements across projects, appraise and record competency of teams to satisfy project needs, set goals and evaluate performance, recruit/train teams , provide expert support and control for project deliverables (including data elements, database design and set-up, validation definition and programming, DTA/DMP/SAP deliverables to internals/externals), provide technical advice/solutions to internals/externals, develop/implement new processes/tech, mentor teams to develop project management capabilities and domain expertise, meet clients and lead discussions of requirements and strategic planning, know the SOW, budget, and scope (in/out) assumptions, ensuring projects are delivered according to agreed quality criteria and timelines.Success consisted of:• Assisting in winning several multi-year multi-million euro projects• Successfully delivering, closing, and securing new continuation projects• Translating the high-level strategic goals into low-level project goals• Identifying key characteristics of project types and appropriate teams as well as management approaches for each• Foreseeing project risks and enacting appropriate mitigation • Building governance structures with accountability measures• Establishing effective methods for relationship management and exercising influence• Applying proven techniques for knowledge capture, exchange, and learning from the challenges encountered during the projects Show less

Providing commercial management consultancy in the MedTech start-up space, providing AI solutions across various applications. An experienced commercial leader, working closely with the CEO, charged with shaping and executing the commercial strategy for the business, driving top line growth.Responsibilities included, establishing traction in the market and accelerating sales (i.e., 0-60 mph in under 6 secs ~ €1M in year 1), building a go-to-market strategy, brand positioning, client… Show more Providing commercial management consultancy in the MedTech start-up space, providing AI solutions across various applications. An experienced commercial leader, working closely with the CEO, charged with shaping and executing the commercial strategy for the business, driving top line growth.Responsibilities included, establishing traction in the market and accelerating sales (i.e., 0-60 mph in under 6 secs ~ €1M in year 1), building a go-to-market strategy, brand positioning, client management, and scaling the global sales & marketing teams.Success consisted of:• Demonstrating effective hands-on leadership skills to scale a MedTech organisation, driving top line growth• A track record of closing high value deals and managing complex sales cycles• Implementing appropriate structures, processes, and business models• Securing background and foreground by fielding IP during contract negotiations Show less

The rise of radiomics, the high-throughput mining of quantitative image features from (standard-of-care) medical imaging for knowledge extraction and application within clinical decision support systems to improve diagnostic, prognostic, and predictive accuracy, has significant and substantial implications for the medical community. Radiomic analysis exploits sophisticated image analysis tools and the exponential growth of medical imaging data to develop and validate powerful image-based… Show more The rise of radiomics, the high-throughput mining of quantitative image features from (standard-of-care) medical imaging for knowledge extraction and application within clinical decision support systems to improve diagnostic, prognostic, and predictive accuracy, has significant and substantial implications for the medical community. Radiomic analysis exploits sophisticated image analysis tools and the exponential growth of medical imaging data to develop and validate powerful image-based signatures/models for precision diagnosis and treatment in medicine. Research focuses on the process of radiomics and its capacity to improve clinical decision making (presently primarily in the care of patients with cancer, however, all imaged patients may benefit from quantitative imaging). Additional emphasis is given to the need for rigorous reporting and evaluation criteria through the radiomics quality score. Show less

Seán is a co-founder of Radiomics and serves as chief science officer. He is a medical physicist with key expertise in data science and a decade of experience in the fields of radiology and oncology. He has a proven track record of managing, processing, and discovering actionable insight from (federated) clinical data in multiple international cancer centers.Seán is primarily responsible for leading research activities within Radiomics, setting scientific priorities in accordance with… Show more Seán is a co-founder of Radiomics and serves as chief science officer. He is a medical physicist with key expertise in data science and a decade of experience in the fields of radiology and oncology. He has a proven track record of managing, processing, and discovering actionable insight from (federated) clinical data in multiple international cancer centers.Seán is primarily responsible for leading research activities within Radiomics, setting scientific priorities in accordance with the mission and goals of the company. The research team is driven by a commercial attitude of scientific excellence. Agility, innovation, and impact are core pillars to maintain a ‘thought leadership’ position for the company, advance science, and address the unmet clinical needs of the healthcare community. Show less

There is a growing evidence gap in cancer treatment decisions, particularly in radiation oncology. Issues include the rapid development and use of novel technologies and treatments, the difficulties of randomised clinical trials (RCT) in this area and the relatively small numbers of RCT patients as a proportion of the whole patient population (2-3%).However, there is a huge amount of routine clinical and imaging data collected on cancer patients that could potentially provide further… Show more There is a growing evidence gap in cancer treatment decisions, particularly in radiation oncology. Issues include the rapid development and use of novel technologies and treatments, the difficulties of randomised clinical trials (RCT) in this area and the relatively small numbers of RCT patients as a proportion of the whole patient population (2-3%).However, there is a huge amount of routine clinical and imaging data collected on cancer patients that could potentially provide further evidence, complementary to RCT data, to help support optimised clinical decisions. Besides patient, treatment and outcome data, a large image-based dataset is available from routine radiation oncology for lung cancer, with (4D-)PET-CT and cone beam CT increasingly being used in addition to the standard practice of acquiring diagnostic, treatment simulation and regular follow-up CT scans. By bringing imaging and other clinical data together from a range of cancer centres, a much stronger (Big Data) dataset can provide more soundly based decisions.This proof-of-concept project hypothesises that 1) for lung cancer radiotherapy (RT) it is feasible to harness data from NSW cancer centres in a data-protected manner, that 2) bioinformatics can be used to interpret this data and provide meaningful decision support and that 3) the addition of radiomics (imaging-based) features can strengthen the clinical decision process. During the project, data on lung cancer patients, treatments, imaging and outcomes from uncoded sources from multiple NSW centres will be extracted, standardized and linked; at the same time keeping each centre’s data secure within its own protected systems. Bioinformatics tools will be deployed to learn and validate in a distributed manner an outcome prediction model for survival in NSW lung cancer patients, predicting whether a patient is expected to benefit from radical radiotherapy. The novel area of radiomics will also be assessed for its role in strengthening the model. Show less

Research is focused on data mining in multicentric trail patients. It is very important in the clinic to have accurate predictions based on all the available knowledge. The basic hypothesis is that prediction of outcome will allow individualized treatment based on Clinical Decision Support Systems. Furthermore, we hypothesize that a holistic-multicentric approach in which variables of different origins are taken into account (clinical, molecular, imaging and treatment related) are accurate… Show more Research is focused on data mining in multicentric trail patients. It is very important in the clinic to have accurate predictions based on all the available knowledge. The basic hypothesis is that prediction of outcome will allow individualized treatment based on Clinical Decision Support Systems. Furthermore, we hypothesize that a holistic-multicentric approach in which variables of different origins are taken into account (clinical, molecular, imaging and treatment related) are accurate enough for use in the clinic and that the "merging" of several images will lead to new hypothesis. Ongoing work involves the development of models using advanced data mining and image analysis techniques applied to lung cancers to customize the treatment for individual patients. This research program on multi-factorial prediction and Decision Support Systems is embedded in the research institute GROW and the Faculty of Health, Medicine and Life Science at the University of Maastricht. It is envisioned that that prospective clinical trials will validate the predictors and test their applicability. The project is Euro-regional with active collaborations between external groups in Eindhoven, Aachen, Liege, Genk-Hasselt and Amsterdam. Show less

ENVISION project leader.

Research is focused in the field of radiotherapy with light and heavy ions. Our aim is to quantify the clinical effectiveness of ion therapy in the treatment of cancer. Ion therapy offers advantages over conventional radiotherapy, due to the selective energy deposition profile enabled by the “Bragg peak” effect. Dose sparing of healthy tissues can be drastically improved through Ion therapy. Currently, there are few comprehensive reports on ion therapy efficacy and no formal clinical trials… Show more Research is focused in the field of radiotherapy with light and heavy ions. Our aim is to quantify the clinical effectiveness of ion therapy in the treatment of cancer. Ion therapy offers advantages over conventional radiotherapy, due to the selective energy deposition profile enabled by the “Bragg peak” effect. Dose sparing of healthy tissues can be drastically improved through Ion therapy. Currently, there are few comprehensive reports on ion therapy efficacy and no formal clinical trials have been performed. This research is part of the European ENVISION project (European NoVel Imaging Systems for ION therapy, http://envision.web.cern.ch/ENVISION/) where many European partners are investigating ion particle dosimetry and in-­vivo dose verification. Our work within the ENVISION project is a joint venture between the Maastro Clinic and the Gray Institute for or Radiation Oncology and Biology, with close collaboration of the Medical University of Vienna: Division of Medical Radiation Physics. The potential clinical effect on the dose distribution due to errors in beam delivery, patient changes, etc, is a subject of great interest. Emphasis is especially focused on the prediction of treatment outcome through radiobiological models based on these dose distributions and the clinical effect of these errors. The work involves sensitivity analyses of humanoid and more abstract geometry cases. This work is also embedded in the in-silico trial group ROCOCO (Radiation Oncology COllaborative COmparison, http://www.mistir.net/). Show less

NUI Galway introduced the access programme in line with HEA recommendations on 'redressing imbalances and inequalities in participation in third level' in 1998. The goals of the access programme are as follows:• To equip students with the skills they will need to participate in a third level course.• To build confidence in students' academic abilities.• To assist students to appraise and evaluate their own academic abilities.• To prepare students for entry to third level… Show more NUI Galway introduced the access programme in line with HEA recommendations on 'redressing imbalances and inequalities in participation in third level' in 1998. The goals of the access programme are as follows:• To equip students with the skills they will need to participate in a third level course.• To build confidence in students' academic abilities.• To assist students to appraise and evaluate their own academic abilities.• To prepare students for entry to third level education.• To assist students with any special requirements they may have such as literacy skills.• To provide support mechanisms once students enter a third level degree programmethe teaching methodologies used on the courses are numerous and are in line with those used at undergraduate and postgraduate level in NUI Galway and other universities. They include: Lectures, blended learning (for example, use of teaching technologies, such as Blackboard), seminars, tutorials, class work, group work, individual work, Learning experiences are structured to progressively lead to: Self direction, student empowerment, personal and professional responsibility. Show less

Physics laboratory supervisor for science, medicine and engineering undergraduate courses. Responsibilities include teaching elementary scientific principles and methods in the context of the physical sciences as well as end of year examination and evaluation of the laboratory students to assess learning outcomes.

Research was conducted in the Medical Physics Research Cluster (MPRC: http://www.nuigalway.ie/physics/staff_pages/m_foley/research.html) Radiobiological modelling is becoming increasingly important in optimising radiotherapy. These models potentially offer the ability to predict superior tumour control and normal tissue complication in radiation oncology through quantification of the relationship between physical dose and tumour and normal tissue response. Research has focused on the… Show more Research was conducted in the Medical Physics Research Cluster (MPRC: http://www.nuigalway.ie/physics/staff_pages/m_foley/research.html) Radiobiological modelling is becoming increasingly important in optimising radiotherapy. These models potentially offer the ability to predict superior tumour control and normal tissue complication in radiation oncology through quantification of the relationship between physical dose and tumour and normal tissue response. Research has focused on the development of such models specifically in the case of prostate cancer. as well as the development of organ motion/deformation software and the implementation of monte carlo treatment planning. Show less

Health care and radiation safety consulting to health, medical, educational and industrial sectors. Professional services include the following: Commissioning and inspection of licensed x-ray equipment. Risk assessments and shielding calculations as required by the Radiological Protection Institute of Ireland. Provision of radiation safety protocols and Procedures. Guidance on the correctness of premises or proposed equipment prior to licensing. Guidance on patient and staff dosimetry and dose… Show more Health care and radiation safety consulting to health, medical, educational and industrial sectors. Professional services include the following: Commissioning and inspection of licensed x-ray equipment. Risk assessments and shielding calculations as required by the Radiological Protection Institute of Ireland. Provision of radiation safety protocols and Procedures. Guidance on the correctness of premises or proposed equipment prior to licensing. Guidance on patient and staff dosimetry and dose optimisation. Show less