Dr Vidhi Lalchand, an adjunct postdoctoral scientist at Sixfold Bioscience, postdoctoral researcher at Cambridge University and an Eric and Wendy Schmidt center fellow at the Broad Institute of MIT and Harvard, will participate in the ​​18th Women in Machine Learning (WiML) Workshop, with the following poster presentation: 

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Recurrent VAE with Gaussian Process Decoders for Autonomous Molecular Generation & Property Prediction

Authors: Vidhi L^1,2,3, Lines D¹; Perdrix Rosell A¹, Lawrence, N²

Affiliations: ¹Sixfold Bioscience Ltd, ²University of Cambridge, ³Broad Institute of MIT & Harvard

Date: 11th December 2023

Session: 3:30pm - 4pm, Great Hall (Poster number #20)

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About NeurIPS

Neural Information Processing Systems (NeurIPS) is the premier event in AI and ML, bringing together leading global researchers and experts to discuss the latest trends and developments. NeurIPS delves into machine learning and computational neuroscience, offering a collaborative platform for professionals to share findings and ideas. The conference spans several topics in AI/ML, including deep learning, reinforcement learning, computer vision and applications of machine learning to science and other adjacent fields.

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About WiML

The Women in Machine Learning (WiML) Workshop, held annually alongside NeurIPS, is a pivotal event for female faculty, research scientists, and graduate students in machine learning. Originating in 2006, WiML is the flagship event of Women in Machine Learning. The technical workshop provides an opportunity to meet, exchange ideas and learn from each other. The 18th WiML Workshop takes place on December 11, 2023, in New Orleans, promoting diversity and inclusivity in the machine learning community.

Sixfold Biosciences is a biotechnology company solving one of the most critical challenges preventing the greater utilization of powerful RNA medicines: delivery. Sixfold’s solution takes evolution as inspiration, learning and mimicking how RNA is naturally delivered to different cell types in the body. Using advanced AI and Bayesian Optimization, Sixfold is learning the language that encodes RNA-shuttle interactions and destination selection, unlocking new cell types for treatment.