I am currently a Principle Machine Learning Engineer at BENLabs. I work on building out infrastructure to serve large models at scale along with tackling problems related to creating value from generative models. I think a lot about how to use LLMs to improve human communication. If you’re curious, take a look at a company I started Mpathic.

In a past life I worked on building new products based on large amounts of healthcare data, tried my hand at a PhD in computer science focused on understanding representation learngin. I am interested in developing, implementing, and understanding algorithms that are capable of acquiring new knowledge and automatically adapting their behaviour over time.

Publications

• Temporal Bottlneck Attention for Video Recognition S.Carvalho, N.M. Bertagnolli and T.Folkman (2021) PDF

• How do you feel? Using Natural Language Processing to automatically rate emotion in psycotherapy M. Tanana, C. S. Soma, P. B. Kuo, N. M. Bertagnolli, A. Dembe, B. T. Pace, V. Srikumar, D. C. Atkins and Z. E. Imel (2020) PDF

• Coordinated metabolic transitions during Drosophila embryogenesis and the onset of aerobic glycolysis JM Tennessen, NM Bertagnolli, J Evans, MH Sieber, J Cox, CS Thummel (2014) PDF

• SVD Identifies Transcript Length Distribution functions from DNA Microarray Data and Reveals Evolutionary Forces Globally Affecting GBM Metabolism NM Bertagnolli, JM Tennessen, O Alter (2013) PDF