Eli Lifland

Eli Lifland is a software engineer with a strong background in computer science and economics, passionate about effective altruism, machine learning (specifically Robustness, Interpretability, NLP, Deep RL), forecasting, and ethics.

Eli Lifland pursued a Bachelor's degree in Computer Science and Economics from the University of Virginia, honing his expertise in these fields.

With a diverse professional experience, Eli has worked at various reputable organizations including Ought as a Research Engineer, where he has significantly contributed to the field.

Prior to his role at Ought, Eli gained valuable experience as a Software Engineering Intern at Facebook and as a Software Development Intern at VERISIGN, showcasing his versatility in different tech environments.

Eli Lifland has also shared his knowledge and skills as a Teaching Assistant at the University of Virginia, demonstrating his commitment to education and facilitating learning.

His interests in machine learning, particularly in Robustness, Interpretability, NLP, and Deep RL, coupled with his experience in different tech roles, position him as a well-rounded professional in the technology sector.

Eli Lifland's dedication to effective altruism and ethics sets him apart, showcasing his drive to make a positive impact through his work and contributions to the tech industry.