A pesquisa no laboratório Van Valen se concentra no desenvolvimento de manãtodos de aprendizado de ma¡quina para estudar células individuais e entender as interaçaµes entre varus e seus hospedeiros.
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)
David Van Valen (PhD '11) fala na convocação do Caltech para 2019 -Â Crédito: Bill Youngblood para Caltech
David Van Valen (PhD '11), professor assistente de biologia e engenharia biológica, foi nomeado para a turma de 2020 da Rita Allen Foundation Scholars. O praªmio éconcedido a cientistas biomédicos em inicio de carreira cujas pesquisas "apresentam uma promessa excepcional de revelar novos caminhos para o avanço da saúde humana", de acordo com o comunicado da fundação.
"Uma área que me entusiasma particularmente éa interseção entre o aprendizado de ma¡quina e o design experimental. Podemos usar o aprendizado de ma¡quina para criar experimentos melhores? Acredito que a resposta ésim. Com o apoio da Fundação Rita Allen, desenvolveremos manãtodos escalona¡veis ​​para perturbar sistemas vivos e imaginar suas respostas, o que aumentara¡ muito o ritmo em que podemos realizar experimentos. "
A pesquisa no laboratório Van Valen se concentra no desenvolvimento de manãtodos de aprendizado de ma¡quina para estudar células individuais e entender as interações entre varus e seus hospedeiros. “Os varus estãoem constante conversa com as células que infectam, e as informações trocadas podem ser usadas pelo hospedeiro ou pelo varus para guiar seus respectivos comportamentosâ€, diz Van Valen. "Para entender como isso acontece, meu laboratório combina ideias de biologia celular e física com avanços recentes em imagens, aprendizado de ma¡quina e gena´mica para fazer novas medições de interações varus-hospedeiro.
"O apoio da Fundação Rita Allen nos dara¡ a liberdade de buscar linhas de pesquisa não convencionais e estimulantes", diz Van Valen. "Uma área que me entusiasma particularmente éa interseção entre o aprendizado de ma¡quina e o design experimental. Podemos usar o aprendizado de ma¡quina para criar experimentos melhores? Acredito que a resposta ésim. Com o apoio da Fundação Rita Allen, desenvolveremos manãtodos escalona¡veis ​​para perturbar sistemas vivos e imaginar suas respostas, o que aumentara¡ muito o ritmo em que podemos realizar experimentos. "
Van Valen também émembro do corpo docente afiliado ao Tianqiao da Caltech e ao Instituto de Neurociaªncia Chrissy Chen .