now coco garbo. oh, the athlete you know, and it went wrong. so i. yeah. so that's why we're here. some of the areas that excite me about a.i., but i'm cautiously optimistic. at stake are its applications for health care. so i don't think it a small achievement alpha fold right to predict 200 million protein folding structures. and when i was a little girl i talk about this in the book i used to go to my dad's office and feed cancer cells. he's a professor, medicinal chemistry and computer aided drug development. so i grew up with my dad and poster shows of protein folding structures all over the world and all over our house. and yeah, he wanted me to go into chemistry, but the silicon computers themselves just look so cool, so i ended up going in a different direction. so that part excites me. but then i also think about so many of the disparities we have in health. there's a company i invested in tech that focuses on women's health. one in three women die of cardiovascular disease, but less than a quarter of research participants are women. so if we're we know about bias data set

now coco garbo. oh, the athlete you know, and it went wrong. so i. yeah. so that's why we're here. some of the areas that excite me about a.i., but i'm cautiously optimistic. at stake are its applications for health care. so i don't think it a small achievement alpha fold right to predict 200 million protein folding structures. and when i was a little girl i talk about this in the book i used to go to my dad's office and feed cancer cells. he's a professor, medicinal chemistry and computer aided drug development. so i grew up with my dad and poster shows of protein folding structures all over the world and all over our house. and yeah, he wanted me to go into chemistry, but the silicon computers themselves just look so cool, so i ended up going in a different direction. so that part excites me. but then i also think about so many of the disparities we have in health. there's a company i invested in tech that focuses on women's health. one in three women die of cardiovascular disease, but less than a quarter of research participants are women. so if we're we know about bias data set