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Zola Valashiya’s journey of professional growth and impact

29 January 2024 | Story Leonie Bolleurs | Photo Supplied

Zola Valashiya graduated from the UFS almost ten years ago with an LLB. Since then, amid life’s twists and turns, he obtained an LLM from the University of Washington, secured a job with a successful law firm in the US, and married the love of his life. Currently, Zola is pursuing a second LLM in Technology and Innovation with the Seattle University School of Law.

Following the advice of a dear friend, Zola figured out what drives him and pursued it relentlessly. “This very simple piece of advice taught me the value of my time, and how much power you take back when you prioritise and protect it,” he remarks.

Advancing the greater good

Fast forward nine-plus years since UFS graduation day, Zola works as a strategic adviser at Coopersmith Law + Strategy, a boutique firm in Seattle specialising in health care, global health, gender/racial equality, and climate health.

“The legal work I do involves various tasks, from drafting legal contracts to conducting data analysis, and developing business strategies for deploying new technologies in health systems or addressing climate change. I value this environment because our efforts are focused on advancing the greater good. I have the opportunity to work on projects that I know will benefit individuals, communities, and the planet,” says Zola.

One of the highlights of his career occurred during the pandemic when he played a key role in preserving one of the largest US training programmes for physicians from diverse backgrounds who serve marginalised communities.

He explains, “The pandemic placed a strain on health-care systems worldwide, leading to cost-cutting measures in private hospitals, the termination of community health programmes, and the closure of small clinics in remote areas, in order to recover from the financial losses. However, these programmes and clinics are vital to the communities they serve because the nurses and doctors are often the only health-care providers for miles around. My contributions have helped to ensure the programme’s continuation, and the continued delivery of quality health care to underserved communities.”

Diversifying his skill set

For the future, Zola says he is working towards diversifying his skill set. “The modern-day lawyer needs to know more than just the law. I have learned coding skills, and I am currently focused on expanding my knowledge of artificial intelligence. In so doing, I am equipping myself with the necessary tools and expertise to thrive in this rapidly evolving field, thereby future-proofing my career.

News Archive

Mathematical methods used to detect and classify breast cancer masses

2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers.

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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