Tanya Aneichyk
@aneichyk.bsky.social
Software engineer turned Bioinformatics Scientist, with a passion for cancer research. Founder at Vedaly | Data/AI in Drug Development | Use data wisely
It was SO CLOSE! 🤣 I just love how it then tried to explain to me why it's so confusing and offer how to not make this mistake in the future 🤣
chatgpt.com/share/689664...
chatgpt.com/share/689664...
August 8, 2025 at 9:01 PM
It was SO CLOSE! 🤣 I just love how it then tried to explain to me why it's so confusing and offer how to not make this mistake in the future 🤣
chatgpt.com/share/689664...
chatgpt.com/share/689664...
If a VC doesn't have a single portfolio company with even one female founder, I don't need to waste my time sending my pitch. I am not saying that these funds are purposely discriminative, but they clearly have not recognized that they have subconscious bias, so the outcome for me will be the same.
January 28, 2025 at 6:13 PM
If a VC doesn't have a single portfolio company with even one female founder, I don't need to waste my time sending my pitch. I am not saying that these funds are purposely discriminative, but they clearly have not recognized that they have subconscious bias, so the outcome for me will be the same.
𝗧𝗵𝗲 𝗵𝗶𝗴𝗵𝗲𝘀𝘁 𝗽𝗼𝗶𝗻𝘁 𝗼𝗳 𝗳𝗮𝗶𝗹𝘂𝗿𝗲 𝗶𝗻 #𝗼𝗻𝗰𝗼𝗹𝗼𝗴𝘆 (𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿) 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 #𝗱𝗿𝘂𝗴𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗶𝘀 𝗳𝗿𝗼𝗺 𝗣𝗵𝗮𝘀𝗲 𝗜𝗜 𝘁𝗼 𝗣𝗵𝗮𝘀𝗲 𝗜𝗜𝗜! We identify molecules that work wonders in cell lines and mice, but fail in patients.
𝘐 𝘩𝘦𝘭𝘱 𝘱𝘩𝘢𝘳𝘮𝘢 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘵𝘰 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘦 #𝘣𝘪𝘰𝘮𝘢𝘳𝘬𝘦𝘳 𝘢𝘯𝘥 #𝘰𝘮𝘪𝘤𝘴 𝘥𝘢𝘵𝘢 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦𝘪𝘳 𝘤𝘭𝘪𝘯𝘪𝘤𝘢𝘭 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺.
𝘐 𝘩𝘦𝘭𝘱 𝘱𝘩𝘢𝘳𝘮𝘢 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘵𝘰 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘦 #𝘣𝘪𝘰𝘮𝘢𝘳𝘬𝘦𝘳 𝘢𝘯𝘥 #𝘰𝘮𝘪𝘤𝘴 𝘥𝘢𝘵𝘢 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦𝘪𝘳 𝘤𝘭𝘪𝘯𝘪𝘤𝘢𝘭 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺.
January 20, 2025 at 8:26 AM
𝗧𝗵𝗲 𝗵𝗶𝗴𝗵𝗲𝘀𝘁 𝗽𝗼𝗶𝗻𝘁 𝗼𝗳 𝗳𝗮𝗶𝗹𝘂𝗿𝗲 𝗶𝗻 #𝗼𝗻𝗰𝗼𝗹𝗼𝗴𝘆 (𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿) 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 #𝗱𝗿𝘂𝗴𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗶𝘀 𝗳𝗿𝗼𝗺 𝗣𝗵𝗮𝘀𝗲 𝗜𝗜 𝘁𝗼 𝗣𝗵𝗮𝘀𝗲 𝗜𝗜𝗜! We identify molecules that work wonders in cell lines and mice, but fail in patients.
𝘐 𝘩𝘦𝘭𝘱 𝘱𝘩𝘢𝘳𝘮𝘢 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘵𝘰 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘦 #𝘣𝘪𝘰𝘮𝘢𝘳𝘬𝘦𝘳 𝘢𝘯𝘥 #𝘰𝘮𝘪𝘤𝘴 𝘥𝘢𝘵𝘢 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦𝘪𝘳 𝘤𝘭𝘪𝘯𝘪𝘤𝘢𝘭 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺.
𝘐 𝘩𝘦𝘭𝘱 𝘱𝘩𝘢𝘳𝘮𝘢 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘵𝘰 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘦 #𝘣𝘪𝘰𝘮𝘢𝘳𝘬𝘦𝘳 𝘢𝘯𝘥 #𝘰𝘮𝘪𝘤𝘴 𝘥𝘢𝘵𝘢 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦𝘪𝘳 𝘤𝘭𝘪𝘯𝘪𝘤𝘢𝘭 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺.
Computational sciences being female-dominated is not a thing of the past. My specialization "Theory of Probabilities and Mathematical #Statistics" (the foundation of modern #AI) had 10 girls and 4 boys. The "#DeepLearning" course back then was called "Theory of Statistical Decision-Making."
January 15, 2025 at 5:39 PM
Computational sciences being female-dominated is not a thing of the past. My specialization "Theory of Probabilities and Mathematical #Statistics" (the foundation of modern #AI) had 10 girls and 4 boys. The "#DeepLearning" course back then was called "Theory of Statistical Decision-Making."