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@festus_nyasimi
Bioinformatics | Data Science | Health | Open science
Cofounder @BioinfoHub_KE.
Basketball | F1 | Adventure
ID: 237667232
13-01-2011 10:33:23
351 Tweet
403 Followers
282 Following


John Burden Lara Mani Jessica Bland @CathERichards Henry Shevlin Clarissa Rios Rojas Centre for the Study of Existential Risk Future Intelligence @DreimanJulian cr_loic Jaime Sevilla vairylein Tashi Namgyal Elaine Czech Susan Lechelt (#11) We start our 2nd week of finalists with an entry by John Wick's pencil and Kinyanjui Carrington 🇰🇪🇬🇭🇿🇦 ⏯️, from Kenya. To ensure AGI remains controlled, they envisage an AGI Non-Weaponization Treaty and a set of international best practices in r&d. Have a read and share! worldbuild.ai/W-0000000454/






We invite you to our October talk on "What you need to know before pursuing higher education - beyond passion, the scope of the field, setting yourself apart and how not to be a student forever” by Siobhan Mackenzie Hall. 💻Zoom 🗓️Thursday 🕐4-5 pm EAT (GMT+3) H3ABioNet openlifescience







We'll be at the University of Nairobi University of Nairobi this Friday 🗓️28th April 2023 for an exciting campus outreach! If you'll be at the Chiromo Campus please stop by Millennium Hall 1 from 🕙10am to learn about cutting-edge research & trends in #Bioinformatics and #OpenScience


📢Exciting news alert! BHKi was recently featured on DW News's 77 Percent! Watch @Landy_Cofia, nyasita, and Kiragu Mwaura explaining how BHKi is creating awareness of #bioinformatics and #openscience in Kenya. 📽️Watch here: bit.ly/3LgYo2k Timestamp: 03.39-05.20




check out our new preprint led by Yichao (Charles) Zhou and supervised by Mengjie Chen and me doi.org/10.1101/2024.1… where we present scPrediXcan which integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework

Check out our scPrediXcan paper cell.com/cell-genomics/… Led by talented Yichao (Charles) Zhou, supervised by Mengjie Chen and me, with thanks to many contributors scPrediXcan integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework.