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Lam Research Commits $1 Million to Battle Against COVID-19 In India

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Lam Research announced it will donate $1 Million for COVID-19 relief and recovery efforts in India. According to reports, the funds will support both local efforts in Bangalore and the Direct Relief organization’s efforts to provide oxygen concentrators and other critical medical supplies to health care providers in communities across the country.

With more than 1,000 employees in Bengaluru, the Lam Research India site plays a crucial role in working on the leading edge of the semiconductor innovation cycle. The company has also established a two-for-one matching gift campaign for monetary donations made by its global employees to eligible COVID-19 relief programs supporting India.

Rangesh Raghavan, corporate VP and general manager at Lam Research India stated, “It is heartrending to see the suffering of so many communities in the country.” “Here at Lam, we are committed to standing strong with the nation during these very difficult times. Given the massive scale and rapid pace of this health crisis, together with the global leadership team at Lam, we decided to accelerate and strengthen our funding to support those most affected,” Raghavan added. 

Throughout 2020, the Corporate Social Responsibility (CSR) team at Lam Research India, has invested in education and COVID-19 relief, including designing and funding Suraksha kiosks used for sample collection that put a protective physical barrier between healthcare professionals and patients as well as donated personal protective equipment (PPE) kits to government-run hospitals. 

“We are humbled to be able to support those on the front lines, as well as families who are most vulnerable in our community,” Raghavan stated.

Over the last few weeks, the CSR team has engaged with local NGOs, authorities, and healthcare professionals to prepare an even more broad and meaningful strategy in the fight against COVID-19.

PS: The story was written using a keyboard.
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Ambika Choudhury

A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.
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