Gavin Niendorf GNiendorf

Current Projects:

Line Segment Tracking (LST): LST is a highly parallelizable tracking algorithm written in C++, now integrated into CMSSW, built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Current Projects:

Line Segment Tracking (LST): LST is a highly parallelizable tracking algorithm written in C++, now integrated into CMSSW, built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Current Projects:

Line Segment Tracking (LST): LST is a highly parallelizable tracking algorithm written in C++, now integrated into CMSSW, built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Current Projects:

Line Segment Tracking (LST): LST is a highly parallelizable tracking algorithm written in C++, now integrated into CMSSW, built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Current Projects:

Line Segment Tracking (LST): LST is a highly parallelizable tracking algorithm written in C++, now integrated into CMSSW, built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Current Projects:

Line Segment Tracking (LST): LST is a highly parallelizable tracking algorithm written in C++, now integrated into CMSSW, built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Current Projects:

Line Segment Tracking (LST): LST is a highly parallelizable tracking algorithm written in C++, now integrated into CMSSW, built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Current Projects:

Line Segment Tracking (LST): LST is a highly parallelizable tracking algorithm written in C++, now integrated into CMSSW, built to reconstruct tracks from particle collisions in the CMS detector at CERN. It aims to replace the current Kalman Filter-based algorithms with a new GPU-based approach to handle the increased volume of data expected from the High Luminosity Large Hadron Collider (HL-LHC).

Past Projects:

TracePy: TracePy is a sequential ray tracing package that I wrote in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. I also developed a parallelizable version of TracePy written in C++ that is capable of running on GPU's.
Light Dark Matter eXperiment (LDMX): LDMX is a proposed particle physics experiment led by a group at Stanford designed to search for low-mass dark matter. I developed the experiment's background rejection model with XGBoost while as an undergrad at UC Santa Barbara under Joe Incandela.

Gavin Niendorf GNiendorf

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Gavin Niendorf GNiendorf

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Gavin Niendorf GNiendorf

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Gavin Niendorf GNiendorf

Highlights

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Gavin Niendorf GNiendorf

Highlights

Organizations

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Gavin Niendorf GNiendorf

Highlights

Organizations

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Gavin Niendorf GNiendorf

Highlights

Organizations

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Gavin Niendorf GNiendorf

Highlights

Organizations

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