For Immediate Release

Evidence Action Announces Appointment of New Board Members

Washington DC, November 22, 2016. Evidence Action is pleased to announce the appointment of two new board members to its Board of Directors: Shikhar Ghosh, a professor of management practice at Harvard University and an experienced entrepreneur, and John Gianola, a retired partner at Ernst & Young.

Mr Ghosh is currently a Professor of Management Practice at Harvard Business School. He has been a successful entrepreneur for the last 20 years. He was the founder, CEO, or Chairman of eight technology-based entrepreneurial companies, and was the past Chairman of the Massachusetts Technology Leadership Council and The Indus Entrepreneurs.

John Gianola is a retired partner from Ernst & Young, one of the leading global accounting firms. During his 38 year career, 27 as an audit partner, he had supervisory responsibility for engagements involving accounting and auditing for a variety of industries including banking, insurance, energy, mining, manufacturing, technology, not for profit and governmental entities. John’s clients were both publicly and privately owned, ranging in size from small entities to multi-national Fortune 500 companies with subsidiaries operating in multiple jurisdictions around the world. 

Says Kanika Bahl, Chair of the Board of Evidence Action and interim CEO: “Evidence Action is very pleased to welcome Shikhar Ghosh and John Gianola to its Board of Directors.  We are already benefiting greatly from Mr. Ghosh’s experience as an entrepreneur building fast-growing companies, and from Mr. Gianola’s financial management expertise. They are wonderful additions to our strong and growing governance board.” 


About Evidence Action: Evidence Action scales up proven development solutions to benefit millions of people around the world. Evidence Action only implements cost-effective interventions whose efficacy are backed by substantial rigorous evidence; identifies innovative, appropriate financing mechanisms; and develops state-of-the-art scalable operations for implementation.


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