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Machine Learning Deep

Location:
New York, NY
Posted:
October 04, 2023

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Resume:

LAMA

*** * **** ****** *****://www.linkedin.com/in/iitslama (626) 272-711

New York, NY 10016 adz5tw@r.postjobfree.com

EDUCATION

Columbia University New York City, NY

Biomedical Engineering, M.S. Dec 2022

•Coursework: Deep Learning for Signal Processing, Tissue Engineering, Biomedical Microelectromechanical Systems, Statistical Machine Learning for Genomics, Signal Modeling, Computational Modeling of Physiological Systems, Lab to Market, Health as a System, Machine Learning for Functional Genomics (CS) University of California, Riverside Riverside, CA

General Biology & Applied Mathematics, B.S. Jun 2021

•Coursework: Biomechanics, Ecology & Conservation, Evolution, Genomics & Bioinformatics, Human Anatomy & Physiology, Human Genetics, Linear Algebra, Optimization, Ordinary & Partial Differential Equations I-III, Ornithology, Population Genetics & Genomics, Probability & Statistics I & II, Virology

LANGUAGE AND IT SKILLS

Programming: Arduino, Matlab experience, C++, Python using Google colab Software: Adobe Illustrator, Microsoft Office Suite (Word, Powerpoint & Excel), Canva Languages: English (Native), Arabic (Native), French (Proficient) ACADEMIC PROJECTS

Deep Learning: Seizure Detection in EEG Recordings Nov 2021 - Dec 2021

•Analyzed most efficient type of neural network to detect EEG recordings in human brains in order to detect unusual activity and compressed findings into a 4-page IEEE report

•Presented findings to the class as a PowerPoint and concluded LSTM-CNN combined model to be most efficient Machine Learning: Trajectory Inference Analysis for Mesenchymal Stem Cells Mar 2022 - Apr 2022

•Annotated cell data with the goal of uncovering unknown differentiation processes using UMap and t-SNE methods in Python WORK EXPERIENCE

Syntekabio USA, Inc. New York City, NY

Computational Biologist Intern Aug 2023 - Oct 2023

•Analyzed diverse biological datasets, including molecular descriptors of drug candidates, using Python (utilizing Mordred & RDkit)

•Conducted regular literature reviews to stay updated on emerging modeling techniques regarding PD/PK

•Developed QSAR models containing Sir and MLP algorithms to predict Pk featuresfrom molecular descriptors, advancing drug discovery

•Collaborated closely with senior scientists to design experimenta, interpret results, and align research with relevant strategies

•Maintained an understanding of relevant market trends surrounding drug delivery and the impact of our model

•Presented scientific findings and future goals weekly to the full team using data visualizations and illustrations LIINC Lab at Columbia University New York City, NY Graduate Researcher Jun 2022 - Jan 2023

•Implemented public eye tracking data in the form of a LSTM deep learning model used to predict future eye tracking movements along with self-collected eye tracking data (Python)

•Brainstormed weekly with the lab team in order to utilize the best approach to creating a useful representation of the data

•Collected robust eye tracking data samples utilizing Pupil Capture/Player software to be input into an eye-tracking prediction model

•Demonstrated findings in a poster at COE conference exhibit and explained the vitality of the technology in a presentation to ophthalmologists at the Hawkins Eye Institute as potential users Graduate Society of Women Engineers at Columbia University New York City, NY Social Media + Communications Chair May 2022 - Jan 2023

•Secured $4,000 of funding from the university to execute networking and social events for our 100+ members

•Planned & hosted interactive industry panels with companies including Tesla & Amazon, workshops on how to interact professionally with employers, a design challenge based on meeting needs of single mothers, and collaboration events

•Negotiated and maximized spending budget up from $150,000 to $165,000 for 4,000 graduate engineering students and dispersed funds to organizations within EGSC

•Awarded $15,000 worth of scholarships to 10 high-performing students by leading a selective process within the budget committee

•Lead committee and communications with organizations requesting budget needs while making efficient use of team's abilities Engineering Graduate Student Council at Columbia University New York City, NY Finance Committee Chair - Executive Board Sep 2021 - Jan 2023



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