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Lifelong learner.

Deep neural networks researcher (PhD) currently working on generative modeling, energy models, and (Artificial) SuperIntelligence. Other research interests include representation learning and multimodality,  employing transformers and other neural network architectures, graphs, signals, and the frequency domain. Having trained in both the theoretical and the computational domains, I am interested in interesting/open problems related to (deep) neural networks, including the building blocks and fundamental aspects of deep learning, such as architecture design, theoretical understanding, and learning algorithms.

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Have published in relevant conferences and journals (eg. ICML'24 AI4MATH workshop, NeurIPS'24 Multimodal Algorithmic Reasoning workshop, ECIR, SIAM's Algo diff.'24, etc.). TensorFlow, MXNet, and HuggingFace Transformers open source contributor of deep learning research.

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My PhD research (mathematical statistics, Virginia Tech) had been in algorithms related to maximum likelihood estimation, KL divergence, non-Gaussian processes, and control (research funded by private grants). During my MSc at VT, I had the honor to briefly collaborate with I.J.Good, one of Alan Turing's colleagues and an originator of the concept "intelligence explosion", which is closely related to what we currently call SuperIntelligence. Majored in applied cybernetics (in the spirit of Norbert Wiener's work) and computer science for my undergraduate degree, when I was first introduced to artificial neural networks. For good measure, I also took Kira Z.'s Deep Learning graduate course at Georgia Tech. Math and physics (thermodynamics) olympic (silver medal, Romania nationals). 

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Research highlights on X(Twitter) during my tenure as Staff ML Engineer / Applied Researcher@ NYC Tech Industry (ex- ASAPP, Amazon, Reddit, Etsy):

* Designed and trained a (deep) neural network architecture for representation learning in personalized sponsored search and recommendations

*Advocated for more DL theory research (2017)

Google Scholar

DBLP

GitHub 

LinkedIn

ResearchGate

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Dabbled in algorithmic trading for a nat (CFA charterholder). US and EU dual citizen. Located in Chelsea, NYC.

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Home: About
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Contact

dao9853@nyu.edu

NYC, NY, 10011

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