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Career

· AI Engineer, Notion (Current)2023–
· Exploring, Stealth2023–2023
· Machine Learning Engineer, Hebbia AI2022–2023
· Machine Learning Engineer, Cohere2021–2022
· Election Integrity Partnership, Stanford University2020–2020
· AI And The Future Of Work, Stanford Institute for Economic Policy Research2019–2019
· Instructor, CS Department, Stanford University2018–2020
· Master's degree, Computer Science / AI, Stanford University2018–2020
· Bachelor’s Degree, Electrical and Electronics Engineering, 4.0, The University of Texas at Austin2014–2018

Publications (7)

Mitigating harm in language models with conditional-likelihood filtration
arXiv.org · 2021
48
cited
Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices
Network Neuroscience · 2020
44
cited
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
arXiv.org · 2020
15
cited
Anxiety Disorder Prediction from Virtual Reality Head Movements
2018
1
cited
Short-term test-retest reliability of the human intrinsic functional connectome
bioRxiv · 2019
1
cited
F98. Counts of Small Subgraphs Within the Resting Functional Connectome are Parsimonious, Stable and Individualized Features in Healthy as Well as Disordered Mood
Biological Psychiatry · 2019
S AFETY B ENCH : Identifying Safety-Sensitive Situations for Open-domain Conversational Systems
2021
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