![]() Unstoppable innovation requires continuous learningįor Tee Chong Yu FCCA, audit analytics senior manager at Deloitte Singapore, the stories that data can tell are endless. ![]() The course provides a platform for an effective and productive understanding of machine learning and languages like Python, which will better enable those who sign up to interrogate data models and output, and work effectively alongside data scientists as partners. This is one of the drivers behind ACCA’s decision to launch a new online course run with EdX called Machine Learning with Python for finance professionals. While we’re perhaps not at the stage yet where finance professionals are expected to be data scientists fluent in computer programming languages, accountants are increasingly working alongside such professionals to deliver data-driven management information, and to tell better stories with a business’s data.Īnd it’s entirely feasible to expect that in years to come finance professionals with programming ability and deep data science skills will either be the norm or at least highly desirable to business. These roles variously ask for people with light experience or knowledge of data analytics and visualisation software and machine learning, all the way to proficiency in programming languages used to query data such as Python and SQL, or create visualisations using PowerBI or Tableau. This is evident in companies seeking increasingly advanced digital and data skillsets that include machine learning, AI and programming languages such as Python.Ī quick job search on ACCA Careers using the keywords ‘machine learning’ uncovers roles such as digital audit advanced analytics senior associate at PwC assurance - forensic & integrity services manager at EY business analytics analyst at DBS Bank senior data scientist at KPMG. A truly cutting-edge professional with a broad skillset that includes technical prowess, technological savvy, excellent communication skills, untouchable ethics, commercial acumen, a focus on sustainability and governance advocacy.įor many, the future has arrived and all these qualities are expected of finance professionals in the current job market. Tai's group is always looking for students, postdocs and researchers who love technology and enjoy building medical devices.There is an ideal of the future-facing professional accountant. Micro implant devices included spinal neural stimulators, ECG implants, retinal prosthetic devices, intraocular lenses, etc. Tai collaborates with many medical doctors and biologist (such as from USC, UCLA, and industries) to develop integrated implants for cortical, retinal and spinal applications. More specifically, Tai’s group has had a major program for miniature or micro implants. Research examples include HPLC-on-a-chip, blood-labs-on-a-chip, and micro drug delivery. Tai has launched a major research effort to apply all these technologies to medical devices. Examples of MEMS/NEMS devices include micromotors, microphones, neural chips, micro relays, micro power generators, micro valves, micro pumps, etc. It supports more than 20 researchers (graduate students, postdoctoral scholars, visiting scholars and industrial members) to develop innovative MEMS/NEMS and medical devices. ft), CAD lab, a measurement/test/metrology lab, and a biological lab. This facility has a clean-room (~3,000 sq. He has built the Caltech MEMS Laboratory (), an 8,000-square-foot facility completely dedicated to medical devices. ![]() Professor Tai’s research uses MEMS/NEMS technologies for medical applications. 125 Moore Research Group Website » Personal Website » Research Overview
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