Cambridge Analytica whistleblower Christopher Wylie on Tuesday revealed that his predecessor Dan Muresan - a political strategist - was found dead in a Kenyan hotel room while working on President Uhuru Kenyatta's campaign.
Speaking during an interview with the Frontline Club in London, Wylie (28) stated that following the death of Museran who was Romanian, a vacancy for a political strategist came up which he (Wylie) took up.
He added that the circumstances around Dan's death were unclear as the company did not disclose any information on the incident.
[caption caption="File image of a street in Nairobi "][/caption]
"I didn’t notice at the time when I first joined....he [Dan] was just found dead in his hotel room. That’s why they had a vacancy.
"I can’t say he was murdered. He died in his hotel room," he explained.
When he was 24, Wylie chose to work with Cambridge Analytica over Deloitte where he was appointed as a political strategist with advanced data science skills.
"The thing I think about all the time is, what if I'd taken a job at Deloitte instead? They offered me one. I just think if I'd taken literally any other job, Cambridge Analytica wouldn't exist. You have no idea how much I brood on this," he was quoted by British newspaper The Observer.
According to the British newspaper, due to his advanced skills in data management, he managed to score a British Tier 1 Exceptional Talent visa which is a U.K. work visa granted to only 200 people yearly.
The New York Times reported that Wylie then became the firm's head of research where he gained an interest "in using inherent psychological traits to affect voters' behavior and had assembled a team of psychologists and data scientists, some of them affiliated with Cambridge University."
[caption caption="Cambridge Analytica whistleblower Christopher Wylie"][/caption]
"On social media you curate yourself, you put so much info about who you are in one single place. So wherever you go and like something, you are giving me a clue as to who you are as a person and so all of this can be captured very easily and run through an algorithm that learns who you are," Wylie told the news station.
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