Workshop Leaders

Kim Ballestrin
Principal Consultant, Elabor8
Personal Kanban

Wendy Cole
Principal, iMastery
Optimising focus & mastering distraction
Wendy Cole is an inspiring consultant, speaker and coach. As the Founding Director of iMastery, Wendy designs and facilitates leadership and productivity training, supporting teams and organisations to further elevate their employee engagement and profitability. Wendy’s strengths as a facilitator and coach are her ability to ensure that workshops are both inspiring and practical and that participants leave the training with tangible knowledge that they can immediately apply in their work. Participants value Wendy’s hands-on experience as a business owner, general manager, consultant and parent – clients enjoy the real-world perspective that she brings to her workshops. In addition to her training facilitation work, Wendy has extensive management experience and has held a variety of leadership roles and positions across Australia. Wendy holds a Bachelor of Behavioural Sciences and a Graduate Diploma in Entrepreneurship and Innovation. Wendy has completed Advanced Facilitation Skills Training with the AITD, is an accredited HBDITM (Hermann Brain Dominance Instrument) practitioner and an accredited Demartini Values Facilitator®.

Sandy Mamoli
Agile Advisor & Author, Nomad8
Individual performance is irrelevant
She is a former Olympian, international keynote speaker and co-author of “Creating Great Teams”. She has a masters degree in artificial intelligence and knows quite a lot about Agile.

Lachlan McCalman
Chief Practitioner, Gradient Institute
Building ethical AI systems
Lachlan MacCalman has spent the last decade developing algorithms and software systems to solve real-world problems with machine learning (ML) for governments and industry. He now applies that experience working at Gradient Institute to advance the theory and practice of ethical ML.
Previously at NICTA and CSIRO’s Data61, Lachlan led teams of ML researchers, software engineers and domain experts to tackle large, interdisciplinary estimation problems requiring robust uncertainty quantification. Lachlan received his PhD in ML from the University of Sydney, after completing honours in theoretical physics at ANU.
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