I harness
data science to solve clinical problems
Dr Jessica Lockery
A clinical informatics leader with a passion for people-centred innovation and a track record of leading R&D teams, writing winning grants and solving real-world data problems.
Leveraging a rare combination of clinical and analytical skills, Jessica bridges the gap between healthcare and technology, specialising in new applications of machine learning that solve problems at the bedside.
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With 10+ years in the health data industry, Jessica has led and supported multiple national and international projects for research, healthcare and government clients.
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She utilises her unique combination of skills to provide technology stakeholders with evidence-based insights about their ideal implementation in the health market, and to support clinicians to understand if and when machine learning initiatives are appropriate for clinical care.
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Jessica holds a medical degree, PhD and several competitive fellowships. She is passionate advocate for women in health data science.
ABOUT
Doctor
Jessica pursued her medical studies at The University of Adelaide, graduating with a Bachelor of Medicine & Bachelor of Surgery before completing her clinical training in Victoria. Pursuing her interest in clinical informatics, Jessica spent the next 10 years defining and driving the data management strategy for one of the largest medical research projects undertaken in Australia, the $70 million ASPREE study which included 15 nested studies across Australia and the USA. She led the team that developed the study clinical data collection platform and architected multiple clinical machine learning projects.
Her clinical interests include cancer genomics, precision prevention, and medication use in older adults.
Scholar
Jessica has authored more than 60 peer-reviewed publications, including 3 papers in the New England Journal of Medicine, and has been awarded more than $61million in joint research funding. Her PhD in Public Health, obtained from Monash University, focussed on Data Innovation in medication research and Jessica continues to explore how machine learning techniques can be applied to meet clinically-meaningful needs.
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She currently holds a Fulbright Postdoctoral Fellowship in cancer pharmacogenomics, hosted by the National Cancer Institute in Washington DC, a Vice Chancellor's Postdoctoral Fellowship at the Royal Melbourne Institute of Technology, and an Adjunct Senior Research Fellow position with Monash University.
Mentor
Jessica is passionate about inspiring and equipping the next generation of clinical and health informaticians. An enthusiastic teacher and mentor, Jessica has designed and implemented high-quality health data management units within the Master of Public Health and Bachelor of Public Health at Monash University and supervised multiple student research projects. She is strong advocate for young women in data and takes pride in recognising and fostering data aptitude. She has mentored multiple young women through their transition to a career in health data technology, analytics and management.
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Jessica belongs to the Women in Data network and is currently serving as a mentor for the career transition mentorship program.
Creative
Jessica is a firm believer that imagination is key for discovery and sees
independent creative pursuits as vital to her clinical innovation work.
She is an avid reader, writer, visual artist and plant enthusiast. At any one time Jessica is likely to have at least two books on the go (one fiction and one non-fiction) and a head full of ideas for her novel - a long time passion project. With her writing journal and sketch paper never far away, Jessica seeks to engage creatively with the world in all aspects of life.
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SPEAKING
Jessica is an experienced speaker and relishes the opportunity to discuss her work and the future of clinical informatics with interested audiences. She has contributed to various panel discussions on topics such as AI in Health and transitioning to a data career.
AI in Healthcare - Human Challenges
Conference Presentation - Data Quality by Design
Career Transitions Panel Presentation
AI in Healthcare - Human Challenges