Search

Kahn Denise Rhrissorrakrai

from Middle Village, NY
Age ~44
Get Report
Also known as:
Kahn Rhrissorrakr, Kahn Rhrissorrakra, Rhrissorrakr Kahn, Rhrissorrakrai Kahn, Rhrissorrakra Kahn
Related to:
Selina L Wang, 75Kate Rhrissorrakrai, 38Nai-Chen Wang, 83Denise Z Wang, 46Nai Chen Wang, 82Kanjana Rhrissorrakrai, 69Krissana Rhrissorrakrai, 69Selina Wang
Connected to:
Robert S Rhu, 52Clint S Rhubart, 87Robert M Rhubin, 76Jeffrey J Rhuda, 69Sasha A Rhudd, 39Angela G Rhude, 30Bonnie L Rhude, 79Dwight E Rhude, 98Francesca Rhude, 35Paul E Rhude, 52

Kahn Rhrissorrakrai Phones & Addresses

  • Middle Village, NY
  • 3633 31St St, Astoria, NY 11106
  • Long Island City, NY
  • Acworth, GA
  • New York, NY

Resumes

Resumes

Kahn Rhrissorrakrai Photo 1

Research Staff Member

View page
Location:
3775 64Th St, Woodside, NY 11377
Industry:
Research
Work:
Ibm
Research Staff Member
Ibm Nov 2012 - Jul 2015
Post-Doctoral Researcher
The New York Academy of Sciences Oct 1, 2011 - Dec 1, 2012
Freelance Writing Associate
New York University May 1, 2012 - Nov 1, 2012
Post-Doctoral Researcher
New York University 2007 - May 2012
Graduate Research Assistant
Education:
New York University 2007 - 2012
Doctorates, Doctor of Philosophy, Biology New York University 2004 - 2006
Master of Science, Masters, Biology Emory University 1998 - 2002
Bachelors, Bachelor of Science, Molecular Biology, Biology, History North Cobb High School 1998
Skills:
Bioinformatics
Molecular Biology
Computational Biology
R
Machine Learning
Systems Biology
Research
Western Blotting
Genetics
Programming
Cell
Cell Biology
Data Mining
Pcr
Statistics
Scientific Writing
Dna Sequencing
Perl
In Vivo
Biochemistry
Genomics
Tissue Culture
Rt Pcr
Graph Theory
Parallel Programming
Editing
Analysis
Assay Development
Cluster
Clustering
Interests:
Photography
Learning the Cello
Martial Arts
Kahn Rhrissorrakrai Photo 2

Ph.d. Graduate Student At New York University

View page
Location:
Greater New York City Area
Industry:
Research
Kahn Rhrissorrakrai Photo 3

Student At Emory University

View page
Location:
Greater New York City Area
Industry:
Research

Publications

Us Patents

Methods And Systems For Determining Drug Resistance Using A Precedence Graph

View page
US Patent:
20210012861, Jan 14, 2021
Filed:
Jul 10, 2019
Appl. No.:
16/507811
Inventors:
- Armonk NY, US
Laxmi Parida - Mohegan Lake NY, US
Chaya Levovitz - New York NY, US
Kahn Rhrissorrakrai - Woodside NY, US
International Classification:
G16B 40/00
G16B 5/00
G01N 33/50
Abstract:
A computer-implemented method is disclosed which includes receiving biological sample information from one or more subjects at a first time period. The method further includes receiving biological sample information from the one or more subjects at a second time period. The method further includes comparing the biological sample information at the second time period with the biological sample information at the first time period. The method further includes generating a precedence graph based on results of the comparison. The method further includes determining one or more actions based on the precedence graph.

Clump Pattern Identification In Cancer Patient Treatment

View page
US Patent:
20200279614, Sep 3, 2020
Filed:
Feb 28, 2019
Appl. No.:
16/288371
Inventors:
- Armonk NY, US
Chaya Levovitz - New York NY, US
Laxmi Parida - Mohegan Lake NY, US
Kahn Rhrissorrakrai - Woodside NY, US
International Classification:
G16B 20/40
G16B 40/00
G16B 10/00
G16B 50/00
G16B 20/20
G16B 30/00
Abstract:
A computer-implemented method includes inputting, to a processor, genomic data from a plurality of subjects, the genomic data including first sample genomic data prior to a treatment, and second sample genomic data after the treatment; determining, by the processor, a plurality of δ's for the plurality of subjects, wherein each δ is a genetic change in the second sample compared to the first sample genomic data; creating, by the processor, a matrix of the plurality of subjects and their features which features are the genetic changes or clusters of genetic changes in the plurality of δ's of the subjects; biclustering, by the processor, the matrix of the plurality of subjects and their features, to provide clumps of subjects sharing a common feature such as a shared genetic change or shared cluster of genetic changes; and outputting, by the processor, the clumps of subjects, the common features, and the treatment.

Phylogenetic Tumor Evolution Trees With Distribution Of Variants In Cell Populations

View page
US Patent:
20200075170, Mar 5, 2020
Filed:
Sep 4, 2018
Appl. No.:
16/120630
Inventors:
- Armonk NY, US
Kahn Rhrissorrakrai - Woodside NY, US
Laxmi Parida - Mohegan Lake NY, US
Aldo Guzman Saenz - White Plains NY, US
International Classification:
G16H 50/50
Abstract:
A computer-implemented method includes inputting, to a processor, an N×K SSV frequency matrix M and an error tolerance δ≥0, wherein N is a number of SSVs and K is a number of time points, wherein matrix M comprises a plurality of time-resolved mutation frequencies for each SSV; clustering, by the processor, matrix rows in M that satisfy the δ to provide a plurality of SSV clusters; assigning, by the processor, a mean cluster frequency to each SSV within each SSV cluster; calculating errors for removing low frequency rows, for rounding rows to 1 or 0; assigning a root node for all SSV clusters of frequency 1; and calculating, by the processor, a δ-compliant time-series evolution tree with error ≤δ comprising the root node and a plurality time-stratified nodes, wherein calculating includes assigning a clonal configuration, optionally re-configuring the clonal configuration, and calculating error for re-configuring.

Functional Analysis Of Time-Series Phylogenetic Tumor Evolution Tree

View page
US Patent:
20200004925, Jan 2, 2020
Filed:
Jun 28, 2018
Appl. No.:
16/022088
Inventors:
- Armonk NY, US
Kahn Rhrissorrakrai - Woodside NY, US
Chaya Levovitz - New York NY, US
Laxmi Parida - Mohegan Lake NY, US
International Classification:
G06F 19/14
G06F 19/24
G16H 50/20
Abstract:
A computer-implemented method includes determining, by a processor, from a time-series evolution tree comprising one or more clones at each of the plurality of time points, that the one or more clones are sensitive clones or resistant clones, wherein the time-series evolution tree is based on sequence data for a tumor from a subject at a plurality of time points, wherein each time point in the time-series evolution tree represents an event in the subject's cancer treatment, and wherein a clone is a collection of gene alterations; based at least in part on determining that the one or more clones that are the sensitive or resistant clones, determining, by the processor, a geneset composition of the one or more clones that are the sensitive or resistant clones; and based at least in part on determining the geneset composition, determining by the processor, a further treatment for the subject.

Detection And Visualization Of Mutational Evolution Dependent Gene Set Alteration

View page
US Patent:
20190220572, Jul 18, 2019
Filed:
Jan 16, 2018
Appl. No.:
15/872035
Inventors:
- ARMONK NY, US
Laxmi P. PARIDA - Mohegan Lake NY, US
Kahn RHRISSORRAKRAI - Woodside NY, US
International Classification:
G06F 19/14
G06F 19/22
G06F 19/26
Abstract:
Embodiments include methods, systems, and computer program products for analyzing mutational evolution. Aspects include receiving a whole genome data set for a patient including a plurality of mutations. Aspects also include determining a variant allele frequency for each of the plurality of mutations. Aspects also include labeling each of the plurality of mutations with a gene set designation. Aspects also include constructing an evolution topology comprising an ordered representation of the plurality of mutations, wherein each of the plurality of mutations comprises one of the gene set designations.

Patient Diagnosis And Treatment Based On Genomic Tensor Motifs

View page
US Patent:
20190180000, Jun 13, 2019
Filed:
Dec 7, 2017
Appl. No.:
15/834660
Inventors:
- Armonk NY, US
Kahn Rhrissorrakrai - Woodside NY, US
Laxmi Parida - Mohegan Lake NY, US
Aldo Guzman Saenz - Yorktown Heights NY, US
International Classification:
G06F 19/18
G16H 20/10
G06F 19/24
Abstract:
Methods and systems for genetic diagnosis include splitting genomes into respective groups of non-overlapping windows. The genomes are sampled into sets, each set being made up of selected genomes. A distribution of events is generated across the sets in each window. A tensor is determined for each window based on statistical properties of the distribution of events for the window. A classifier is generated based on the tensors. One or more phenotypes is diagnosed from an input genome using the classifier.

Differential Gene Set Enrichment Analysis In Genome-Wide Mutational Data

View page
US Patent:
20190171791, Jun 6, 2019
Filed:
Dec 1, 2017
Appl. No.:
15/828747
Inventors:
- Armonk NY, US
Laxmi PARIDA - Mohegan Lake NY, US
Kahn RHRISSORRAKRAI - Woodside NY, US
International Classification:
G06F 19/12
G06F 19/18
G06F 17/50
G06F 19/28
Abstract:
Embodiments include methods, systems, and computer program products for analyzing genomic data. Aspects include receiving genomic data for an organism, sample phenotypes, and a plurality of gene sets. Aspects include, for each of the gene sets, determining a set of genes G corresponding to genes in the gene set and a set of genes G′ corresponding to genes outside the gene set for the phenotypes R and R′. Aspects also include determining a set of mutated genes M and a set of non-mutated genes M′ for R and R′ and a mutation enrichment score. Aspects also include determining a set of differentiated genes D a set of non-differentiated genes D′ for R and R′. Aspects also include identifying an enriched gene set Gbased at least in part upon the mutation enrichment score and the differentiation enrichment score.

Cognitive Stroke Detection And Notification

View page
US Patent:
20180253530, Sep 6, 2018
Filed:
Mar 6, 2017
Appl. No.:
15/450603
Inventors:
- Armonk NY, US
Raquel Norel - Yorktown Heights NY, US
Kahn Rhrissorrakrai - Woodside NY, US
International Classification:
G06F 19/00
A61B 5/00
Abstract:
Embodiments of the invention include methods, systems, and computer program products for determining stroke onset. Aspects of the invention include determining a baseline behavioral model for a user and receiving real-time user data from a personal portable device. Aspects of the invention also include analyzing the real-time user data to determine the presence of an abnormal event. Aspects of the invention also include, based at least in part on a determination that the abnormal event is present, conducting a plurality of stroke analyses to generate a plurality of impairment characteristics. Aspects of the invention also include integrating the plurality of impairment characteristics, comparing the integrated plurality of impairment characteristics to the baseline behavioral model and outputting a stroke onset determination.
Control profile
Kahn Denise Rhrissorrakrai from Middle Village, NY, age ~44 Get Report