Larry Zhang Email & Phone Number

Los Altos, California, United States

Working on Human Computer Interaction research related to creativityhttps://www.tri.global/our-work/human-centered-ai

Bloomington, Indiana, United States

Dual PhD Student and Researcher in Intelligent Systems Engineering and Complex Network Systems (Informatics). Also working with groups in Psychological and Brain Sciences and Cognitive Science Program.Working towards building technology to understand neuropsychiatric illnesses and help improve the quality of life neuropsychiatric patients, via cognitive and computational modeling.Co-advised by Prof. Yong-Yeol Ahn and Prof. Gregory Lewis

Tokyo, Japan

Working in the headquarters R&D division. Developing methods for vital sensing and emotion estimation https://www.sony.com/en/SonyInfo/research/research-areas/human_sensing-interaction/

Mountain View, California, United States

Back for more development of physiological sensing algorithms pertaining to stress sensing

Mountain View, California, United States

I am developing physiological sensing algorithms for health and wellness applications

Greater Los Angeles Area

Research with USC's Institute for Creative Technology on multimodal behavior sensing and computational mental health

Neurolex is now piloting a data collection effort to establish a voice genome, Voiceome, to standardize voice analysis research. Donate Now: https://www.voiceome.org/Role Responsibilities:- Data science consulting with clients from top academic labs at Harvard, Stanford and Digital Therapeutics and Pharmaceutical company discovery labs. - Studying and leveraging computational methods including network science, data science, signal processing to validate voice and speech data as a digital biomarker. - Managing research efforts and team within Neurolex's Tribe Fellowship program, leading industry scientists, PhD's, post-docs, software engineers, undergraduates.

Stanford Neurodevelopment, Affect, And Psychopathology Laboratory (Snap Lab)

Working with the Stanford SNAP Lab to bring statistical methods and machine learning algorithms to the forefront of building predictive depression models.Abstract: "Acoustic Vocal Features in the Subtyping of Adolescent Depression Using Machine Learning " accepted into Society of Biological Psychiatry Conference ; Co-First Author. - Engage in merging biological/psychological understanding with deterministic data-driven results. - Establishing studies and analyses with data-types including biological data, study participant interviews and surveys, digital phenotyping from mobile apps, and speech data.

Uw Digipsych Lab

Piloting Voice Computing for the diagnosis and treatment of psychiatric and neuro-degenerative illnesses, with focus on Depression.- Managing team of 10+ undergraduates and graduate students for 3-4 different project spaces.- Developed a voice computing pipeline to enable . Used by all members of lab to obtain data for respective analyses.- Attending Computational Neuroscience/Precision Health Conferences to further understanding of computational applications in Psychiatric/Neuroscience Fields.- Assist in maintaining research partnerships with other entities including, but not limited to: schizophrenia.com, Mental Health America, Stanford Psychology Department.

Santa Clara,Ca

Engineer on the Mixed Signal Design Verification Team - Developed and Piloting End-To-End automation and analytics framework for team in python to automate communication with Relational SQL Database, Perforce, REST API's, Live GPU systems and Measurement Devices (KeySight, Tektronix, etc.) - Worked with Circuit Designers and Mixed Signal organization to build out analysis use cases for live GPU verification testing to identify anomalous data. - Achieved 94% accuracy in predicting post-silicon health using Support Vector Machine Model. - Achieved ~ 0.5 RMSE loss value in predicting NVLink Eye Opening Margin using Gradient Boosted Decision Tree Model.- Assisted in collection of data from communication interfaces including NVLink High-Speed GPU Interconnect, PCIe Bus, USB3 Port.

-Developed Audio Data Pipeline on top of Google AudioSet based audio embeddings. -Built SVM and Neural Network Model example pipelines on top of audio embeddings.- Continuing work past April 28th demo, working on research revolving around Bipolar Disorder and Digital BiomarkersGithub Link: https://github.com/larryzhang95/Data-Science-For-Mental-Health

San Francisco Bay Area

- Developed Neural Network for Natural Language Processing on large data source (NDA signed)- Performed Data Analysis on text based dataset for data quality verification- Implemented a LSTM on Beijing Pollution Time Series Data in Spark and BigDL

Greater San Diego Area

Part of CALIT2 Pattern Recognition Laboratory under Processors-Machine Learning (PRO-ML) Special Interest Group. Working with different processors to implement learning algorithms.Presented Study on Binarized Neural Networks and prospective on binarizing weights and inputs for Energy Efficient Spiking Networks.Current processor: IBM TrueNorth

Santa Clara, California

Hardware Methodology TeamProject: Develop aspects of circuit design tools to improve workflow and time required from initial development of chip/cell to actual design. Tasks:Develop python scripts and programs to mine word and pdf data from non-standardized datasheet structures, and updating central database of circuit design tool. Account for high number of edge cases while preserving simplicity of programs and scripts to implement robust algorithms within scripts. Develop lightweight ranking algorithm(s) to promote accuracy and user-friendliness of circuit design tool and to account for various use cases.

Dual Phd, Complex Network Systems And Intelligent Systems Engineering

NSF NRT Fellowship Awardee (https://cns-nrt.indiana.edu/)

Bs, Electrical And Electronics Engineering

Activities and Societies: Club Swimming, Kaibigang Pilipin@, Global Ties, IEEE QuadCopter Team

Education record