Mirador Analytics Team

President of Mirador

Jamie BLACKPORT, Founder and President
Jamie has a 20+ year commercial and medical affairs global pharmaceutical career and specializes in successfully helping small and mid-sized biopharma companies commercially develop, transact, and launch products worldwide. He started Mirador Analytics with the fellow founders as they saw health care organizations needed support to realize the full potential of their data and analyses. Offering that support would, in turn, help support innovation and growth in the industry and advance global health care.

CONTACT JAMIE

OPERATIONS AND CLIENT MANAGEMENT

Jamie GRAY, Chief Operating Officer
As COO, Jamie is responsible for all of Mirador's operational activities and also manages our client services functions. His role includes building and coordinating the implementation of new business processes and strategies across functions to grow the organization effectively. His roles also include the coordination of our marketing, brand strategy, and communications efforts. Jamie has been with Mirador Analytics since its founding and has an in-depth knowledge of the company's past, present, and future activities. He has held various roles during this time, both customer-facing and behind-the-scenes developing infrastructure.

CONTACT JAMIE

Ashleigh MAXWELL, PhD
Director of Project Management

Jane DEANS
Project Manager

Alice LITTLE
Well-being and Operations Manager

Robin OSMOND
Head of Strategic Partnerships

Emma PLAYFORD
Project Manager

Usama SHAHZAD
Project Co-ordinator

Samantha PENN
Director, Strategic Partnerships

Andrew MCINTYRE
Project Manager

DATA ANALYSIS AND STATISTICS

Colin MOFFATT, Chief Data Scientist
PhD, MSc, MRes, BSc (Hons), DIC, FHEA, GradStat

Colin is our Chief Data Scientist and statistician. He oversees and works on our statistical risk analyses and also builds completed reports. Colin has 20 years' experience in statistics and data analysis, having analyzed the data for over 30 scientific publications and taught applied statistics to university students of all levels. He is a Fellow of the Royal Statistical Society with GradStat status and has an MSc in Data Science from Lancaster University. He has expertise in a variety of methods in statistical modeling, machine learning, and data mining, being a long-time user of the software R. Colin's background is in applied biology, in which he holds a PhD from Imperial College London and an MRes from Lancaster University. He has been a regular reviewer of submissions to several scientific journals and is an honorary lecturer at De Montfort University, Leicester.

CONTACT COLIN

Kirsty MACRUARY, Senior Data Scientist and Data Protection Officer
PhD, BSc (Hons)

Kirsty is one of our in-house data scientists. She works on our HIPAA Statistical Disclosure Risk Analyses and within other Health Data Compliance projects. Kirsty previously worked at Sainsbury’s Bank as a Modeling Analyst within the Credit Risk department. This position involved researching, developing, implementing, and monitoring predictive statistical models using credit risk quantitative techniques. Prior to this, Kirsty worked at ISD (part of NHS NSS) as an analyst and statistician within Public Health and Intelligence. Her role involved collecting, collating, and carrying out complex data analyses in support of management and customer requests and generating reports on her work. Kirsty’s entry into the world of statistics and data analysis came during her research and completion of her PhD in Chemistry, funded by Johnson Matthey plc, Anglo American, and the EPSRC.

Lisa PATRICK, Senior Data Scientist
PhD, MChem (Hons)

Lisa works within the data science team at Mirador. Her role involves the assessment of client data, carrying out HIPAA disclosure risk analyses, and related health compliance work. Prior to starting her career at Mirador, Lisa completed a PhD at the University of Edinburgh, working in the field of structure-based drug design, which was in collaboration with pharmaceutical company UCB.

Robert VALLANCE
PhD, MSc, BSc
Data Scientist

Anca IONESCU
MSc, BSc (Hons)
Data Scientist

Dermot MCATEER,
PhD, M.A.St, BSc (Hons)
Data Scientist

Stuart WATT
MSc, BSc (Hons)
Data Scientist

David WILLIAMSON
PhD, MSc, BSc (Hons)
Data Scientist

Greg CHADWICK
MSc, BSc
Data Scientist

Robin AGGLETON
PhD, MPhys
Data Scientist

Patrick WHARTON
MSc
Data Scientist

Fran LANE
PhD, MMath (Hons)
Data Scientist

Kyle MCLEAN
PhD, MSci
Data Scientist

James GOW
BSc
Data Scientist

Adja TOURÉ
PhD, MSc, BSc
Data Scientist

David COPELAND
PhD, MPhys
Data Scientist

Elaine MITCHELL
PhD, PGDip, MASt, BSc
Data Scientist

Leo ROGERS
PhD, MPhys
Data Scientist

Elizabeth
MARSELLA
BA, MSc, PGDip
Data Quality Analyst

Kristin LUND
PhD, MPhys
Data Scientist

Thanasis TSANAS
PhD, MSc, BSc, BEng, FHEA
External Data Scientist Consultant – University of Edinburgh

Georgia LAVAL
Data Analyst & Proof Reader

Diane HORBERRY
Data Analyst & Proof Reader

Gillian MCGOVERN
PhD, BSc (Hons)
Data Analyst & Proof Reader

Michelle WHITTLE
Data Analyst & Proof Reader

Annie Burman
Data Analyst & Proof
Reader

PRODUCT DEVELOPMENT AND SPECIAL PROJECTS

Paul SYMMERS, Head of Data Technology
PhD, MChem (Hons)

Paul joined Mirador in 2019 and currently leads the Data Technology team, overseeing the design and development of Mirador’s technology products and infrastructure. This includes leading innovation in automation-assisted privacy assessments, as well as ensuring that client data entrusted to Mirador is held and processed securely.

Paul was previously a senior member of the Data Science team, working on a range of projects, including the privacy risk associated with machine-learning techniques carried out on protected health information, review of tokenization privacy, and the privacy risk involved in using synthetic data. Prior to working at Mirador and after gaining a PhD from the University of Edinburgh, he has worked in multiple sectors, including energy and telecoms. This has included the implementation of machine-learning architectures, designing a knowledge graph for use in a pharmaceutical organization, and creating analytics processes for transformation programs.