Jun 2025 – Present · 9 mos · New York City Metropolitan Area · On-site

May 2022 – May 2025 · 3 yrs · New York City Metropolitan Area · On-site

• Mid-frequency options alpha research.

Mar 2020 – May 2022 · 2 yrs 2 mos · New York, New York, United States

• Working on deep learning algorithms for cancer diagnosis.

Aug 2019 – Mar 2020 · 7 mos

• Building ML systems to detect and reduce prevalence of harmful political ads across FB apps.

May 2019 – Aug 2019 · 3 mos

• Joint research with Cornell Tech and Facebook AI on counterfeit ID detection via fine-grained anomaly detection.

Jun 2018 – Aug 2018 · 2 mos · Menlo Park, CA

• Working on content understanding for ads using recent advances in NLP and computer vision.

Aug 2018 – May 2019 · 9 mos · Ithaca, New York Area

• Working in the computer vision and ML labs on various projects ranging from leading research in Gaussian processes to applying recent advances in computer vision to robotics.

Aug 2018 – Dec 2018 · 4 mos · Ithaca, New York Area

• Lead TA for CS 4775: Computational Genetics and Genomics, and TA for CS 4780: Machine Learning for Intelligent Systems.

Aug 2017 – May 2018 · 9 mos · Ithaca, New York Area

• Applying advances in Gaussian processes towards large-scale data such as ImageNet.

May 2017 – Aug 2017 · 3 mos · Mountain View, California

• Applying graph theory to generalize analysis of the ambiguity in image classification datasets.

Dec 2016 – Jan 2017 · 1 mo · Remote

• Implementing recent advances in sequence-to-sequence research as a framework for building customizable models for translation of symptoms to diagnoses.

May 2016 – Aug 2016 · 3 mos · Greater New York City Area

• Re-implementing a project to recognize groceries in situ using deep learning tools such as TensorFlow, based off a previous study done 10 years ago. This was done under the supervision of Dr. Serge Belongie.

Apr 2016 – Aug 2016 · 4 mos

• Implementing stochastic depth in Caffe for public use under the supervision of Prof. Kilian Weinberger.

Jan 2016 – Dec 2016 · 11 mos

• Held office hours to answer questions students had regarding course material. Assisted in grading problem sets and exams on course material.

Jun 2015 – Aug 2015 · 2 mos · Manassas, VA

• Conducted research investigating the ties between amino sequences in protein interfaces and the corresponding gene sequences, looking for any sort of complementary nature that indicated a correlation between complementary gene sequences and the presence of protein interfaces.Required probability distribution models to expedite database accession by learning which amino sequences tended to occur for specific protein occurrences in interfaces, as well as the use of ad hoc methodology in combination with Python scripts.

Jun 2014 – Aug 2014 · 2 mos · Bethesda, MD

• Research involving the clustering of regulatory elements in the human genome; looked at functional clues that could tie enhancer and silencer function together in a non-trivial way using computational method and online databases such as GREAT from Stanford and TiGER. Required a combination of Python and R to create mathematical models to better understand the clustering and interaction between these regulatory elements.

Jun 2013 – Aug 2013 · 2 mos · Manassas, VA

• Conducted research with the goal of correlating mutations in amino acid sequences that code for viruses, involving the implementation of random matrix theory and linear algebra to virus mutation alignments.