Debjani Saha Email & Phone Number

Predictive modeling projects in two areas.- Vocational Rehabilitation: developing machine learning (ML) models for the SSA to predict likelihood of re-employment for Title II and XVI (disability) beneficiaries; using these models to inform future re-employment outreach efforts- Occupational Requirements: building a software package utilizing ensemble ML methods to impute missing data in the Occupational Requirements Survey (ORS) administered by the Bureau of Labor Statistics (BLS)

GRA in the Marylance Cybersecurity Center (MC2) at UMDAdvisor: Dr. Michelle MazurekUsing a combination of qualitative and quantitative methods to study topics in the Human-Computer Interaction (HCI) space.- PROJECT 1: User study (interviews) interrogating attitudes towards privacy and security concerns in commercial genetic testing- PROJECT 2: User study (surveys) evaluating lay comprehension of mathematical definitions of fairness used in machine learning

Greater New York City Area

Continuation of immunogenomics work from The Rockefeller University (analysis of NextGen and microarray sequencing data in the context of human immunity).

Greater New York City Area

Analysis of sequencing data in immunological contexts (immunogenomics).- Built custom analysis pipelines for gene expression data (microarrays, NextGen RNA sequencing) using Bash, R, and Python- Worked to determine how various perturbations (such as infection, vaccination, and therapy) affect the human transcriptional profile in an immunological context, and how these effects contribute to and drive immune response

Baltimore, Maryland Area

Analysis of functional neuroimaging (fMRI) data in psychiatric contexts.- Built pipeline to automate extraction and analysis of data from functional neuroimaging (fMRI) studies using a combination of Matlab (SPM), Bash, Python, and Perl- Worked to identify brain regions linked to both cognitive deficits in schizophrenia (SZ) and genetic inheritance through correlation analyses of fMRI data from healthy controls, SZ patients, and patients' unaffected siblings- Used genetic risk profile scores (RPS) in conjunction with functional neuroimaging data to study how genomic variations contribute to schizophrenia in the context of numerical working memorySELECTED CONFERENCE POSTERS and ABSTRACTS:La, M., Saha, D., Ma, Y., & Tan, H. Compensatory brain network mechanisms underlying calculation difficulties characteristic of dyscalculia. Abstract No. 186. Biological Psychiatry 2017 Abstracts. San Diego, CA: Society of Biological Psychiatry, 2017. Online.Saha, D., Yan, H., Zhang, L., Muse, T., Chen, Q., Zhang, F., Mattay, V.S., Yue, W., Zhang, D., Weinberger, D.R., & Tan, H. Genetic risk for schizophrenia during working memory computation. Program No. 160.312. Biological Psychiatry 2015 Abstracts. Toronto, ON: Society of Biological Psychiatry, 2015. OnlineMa, Y., Saha, D., Chen, Q., Weinberger, D., & Tan, H. Compensatory mechanism involved in math fluency. Program No. 19.03. Neuroscience 2014 Abstracts. Washington, DC: Society for Neuroscience, 2014. Online.

Greater New York City Area

- Pursued and completed undergraduate Honors Thesis: studied how changes in waveform envelopes affect the binaural masking level difference (BMLD) in humans- Developed MATLAB code to enable collection and analysis of human subject data for psychoacoustic studiesABSTRACTS:Saha, D., & Rinzel, J. Perceptual threshold difference between rapid and gradual onset tones in noise implicates slope detector neurons in auditory brainstem. Inquiry: A Journal of Undergraduate Research. New York University, College of Arts and Sciences. 2013; 17:38 (Abstract).

- Tutored students writing essays for various classes at New York University- Met weekly with mentors and fellow tutors to discuss strategies to further develop as tutors of writing

Bethesda, Md

- Assisted in implementing computational models of neurons in the Pre-Boetzinger Complex (PBC) using dynamic clamping technique- Began development of a compartmental model of a PBC neuron using the NEURON program

New York, New York

- Tutored university students in statistics, with an emphasis on applications to psychological research

- Compiled reports detailing online advertisement performance on Snooth website to send to clients- Conducted analytic studies tracking Snooth daily email and email product performance- Worked extensively with online-advertising software such as Google Analytics, Google DFP, and Atlas- Assisted in various tech and sales department tasks such as website updating and creating decks for potential clients

Master Of Science - Ms, Computer Science

Computer Science

Taking courses in preparation for graduate programs in computer science. - Fall 2016: Foundations of Computer Science (discrete math).

B.S., Neural Science, Magna Cum Laude

Activities and Societies: NYU College of Arts & Sciences Presidential Honors Scholars, NYU Sport Taekwondo, NYU Martial Arts Club, Phi.

Education record

Activities and Societies: National Merit Scholarship Corporation (Finalist), National Honor Society, German Honor Society