Abhilasha Kumar

Associate Consultant

Portland, Maine, United States9 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in computational cognitive science and language modeling.
Led interdisciplinary research projects in cognition and AI.
Proficient in machine learning and statistical analysis.

Stackforce AI infers this person is a cognitive scientist specializing in AI and machine learning applications.

Contact

Skills

Core Skills

Cognitive PsychologyQuantitative ResearchMachine LearningExperimental DesignNatural Language Processing (nlp)

Other Skills

Data AnalysisAlgorithmsMarket ResearchStart-upsContent WritingStatistical Data AnalysisResearchAnalyticsAlgorithm DesignResearch DesignSocial Media MarketingConsultingProduct DevelopmentRisk ManagementProduct Management

About

I am a computational cognitive scientist and Assistant Professor of Psychology at Bowdoin College in Maine, where I lead the Lexicon Lab. I build and evaluate models of language and social cognition using gamified and behavioral experiments, computational modeling, and statistical inference. Read more about my current research at http://abhilashak.weebly.com/ Email is the best way to reach me!

Experience

9 yrs 9 mos

Total Experience

3 yrs 3 mos

Average Tenure

3 yrs 10 mos

Current Experience

Bowdoin college

2 roles

Assistant Professor

Jul 2022 – Present · 3 yrs 10 mos · Portland, Maine, United States

Quantitative ResearchCognitive Psychology

Assistant Professor

Jul 2022 – Present · 3 yrs 10 mos · Portland, Maine, United States

Indiana university bloomington

Research Associate

Jun 2021 – Jul 2022 · 1 yr 1 mo · Greater Boston

Quantitative Research

Diverse intelligences summer institute (disi)

Summer Research Fellow

Jul 2020 – Jul 2020 · 0 mo

Summer fellowship to collaborate with researchers in the fields of cognition and AI
Led two interdisciplinary projects on semantic search processes and modeling story arcs

Capacity

NLP Research Scientist Intern

Oct 2019 – Dec 2019 · 2 mos · Greater St. Louis

Evaluated relative performance of textual features (semantic similarity, pronoun use etc.) in predicting most representative question to improve back-end functionality of conversational digital assistant
Finetuned BERT model with in-house query database to improve performance on question answering system

Washington university in st. louis

Doctoral Student

Aug 2016 – Jun 2021 · 4 yrs 10 mos · St Louis, Missouri, United States

Evaluated machine learning-based language models in psycholinguistic and semantic tasks
Designed and conducted behavioral experiments and surveys with online and in-person users through software like PsychoPy, JSPsych, E-Prime, Qualtrics and Collector
Analyzed large datasets using hierarchical linear modeling, multivariate statistics, longitudinal data analysis, A/B testing, text classification and network analysis techniques
Experience in several programming languages: Python, R, MATLAB, C/C++, HTML, etc.

Quantitative ResearchMachine LearningData AnalysisAlgorithms

Flexing it™

Data Science Intern

May 2013 – Jul 2013 · 2 mos · Greater Delhi Area

Flexing It is an online platform that connects organizations to professionals on an 'on-demand' basis for projects, consulting assignment, advisory roles and part time resource needs
Identified 5 target sectors & formulated strategy for Phase 2 by mining patterns from website
Streamlined outreach program by a data model analysis of 400+ start-ups, incubators and accelerators in India